Qwen3.8-Max: score and benchmark evidence
Historical release · · Alibaba
94.6 points · Rank 13 among 19 ranked models · Stability range 84.4–105 points.
Rank follows the point estimate; it does not establish statistically significant superiority. The scale is anchored at mean 100, SD 15 in the frozen calibration cohort, not human IQ or a percentage.
One capability score combines evidence across seven equally weighted domains. Related benchmark variants share a family budget, and influence from one evaluator is capped.
Release tli-2026-v1.0-2026-09-06. Methodology and limitations for this release.
This page preserves historical evidence. See the current model record.
Capability domains
Domain scores use calibration-cohort standard-deviation units. Unmeasured domains are shown as unavailable, not zero.
| Domain | Score (SD units) | Observed benchmarks |
|---|---|---|
| Knowledge & reasoning | -0.20 | 7 |
| Coding & software engineering | -0.25 | 9 |
| Agentic tool & computer use | -0.17 | 5 |
| Professional & real-world work | -0.24 | 14 |
| Multimodal & vision | 0.08 | 4 |
| Cybersecurity | -0.18 | 1 |
| Preference & communication | -0.11 | 3 |
Published benchmark evidence
43 results contribute to this score, from 78 collected results and 43 contributing benchmark families. Counts are not independent sample sizes.
Collected means a numeric result exists in the database. Used means its source, exact model checkpoint and benchmark protocol have been reviewed and its benchmark has a frozen calibration supported by multiple providers. For each benchmark we select the highest published aggregate across comparable reasoning modes, not necessarily maximum effort, and count it once. More tested settings provide more chances to record a high score; this selection advantage is not corrected by the conditional interval. Developer-reported and sole/unspecified settings remain eligible and disclosed. Unresolved does not mean false or useless: conflicting metrics, unverified citations and unmatched versions stay collected until reconciled.
The bar estimates score stability under the scoring assumptions: a fixed calibration and comparable benchmark availability. It resamples benchmark families and evaluators while keeping each domain’s evidence strength fixed, then adds a frozen correction learned from missing-evidence tests. Benchmark count and domain coverage both affect that correction. It does not add a second full capability-posterior draw or uncertainty from changing the reference calibration. It is not a guarantee under selective publication, new benchmark domains or future model releases.
Reporting sensitivity: ±1.3 points. Sensitivity to selectively published results. This stress range is not a confidence interval or a probability statement.
GDPval-AA v2 (Elo): 1633.53 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: Elo
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
Terminal-Bench 2.1: 81.273408%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: pass@1, AA harness
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
DeepSWE v1.1: 57.461024%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: qwen3-8-max; xhigh; mini-swe-agent
Metric: pass@1 over scored rollout attempts
Original source · Retrieved 2026-09-06
Selected the best pass@1 across published reasoning efforts within mini-swe-agent. Pass@4 is not substituted.
LMArena (Chatbot Arena) — Text: 1479.556758 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: qwen3.8-max; Arena text overall; style control enabled
Metric: style-controlled text overall Elo
Original source · Retrieved 2026-09-06
Best published reasoning-mode rating within the same text overall board. Different leaderboard slices and undated earlier DeepSeek checkpoints are not pooled.
AA Intelligence Index v4.1.1 (score): 58 native-points
Not used in the score. Source category not recorded. Review status: excluded.
Held-out composite, never a scoring input
GPQA Diamond: 92.727273%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: accuracy, AA
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
AA-LCR: 74.3%
Not used in the score. Source category: independent. Review status: unresolved.
Configuration: Qwen3.8 Max
Original source · Retrieved 2026-09-06
Current AA result is LCR v1.1. The inherited AA-LCR row has no reviewed version match; a new version cannot silently substantiate the older value.
Finance Agent v2 — Vals: 50.59%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: fabv2 overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
Excel Modeling Benchmark — Vals: 60.07%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: emb overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
SciCode: 53.240741%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: accuracy, AA harness
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
Humanity's Last Exam (no tools): 43.04912%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: accuracy, no tools, AA
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
Legal Research Bench — Vals: 47.6%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: legal_research overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
Harvey LAB (Vals): 10.42%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: hlab overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
AA-Briefcase Overall Elo: 1392.33 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: overall Elo
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
MedScribe — Vals: 84.95%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: medscribe overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
SWE-bench Verified — Vals: 85.6%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: swebench overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
LegalBench — Vals: 83.61%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: legal_bench overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
TaxEval v2 — Vals: 75.55%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: tax_eval_v2 overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
KingBench 3: 81.25%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 81.25 for Qwen3.8 Max on KingBench 3 still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Vals Index: 66.12%
Not used in the score. Source category: third_party. Review status: excluded.
Configuration: qwen3.8-max; max effort; Vals AI index methodology
Metric: Composite score
Original source · Retrieved 2026-08-16T00:00:00.000Z
Held-out composite, never a scoring input
Public Benefits Bench — Vals: 67.12%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: public-benefits-bench overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
MedCode — Vals: 40.67%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: medcode overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
AutomationBench v1.0.6: 39.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 39.8 for Qwen3.8 Max on AutomationBench v1.0.6 still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
AA-Omniscience: 3.4 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: knowledge reliability index -100 to 100
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
MMLU Pro — Vals: 88.6%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: mmlu_pro overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
LiveBench: 78.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 78.5 for Qwen3.8 Max on LiveBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
CorpFin v2 — Vals: 65.85%
Contributes to the score. Source category: benchmark_org. Review status: reviewed-archive.
Configuration: qwen3.8-max; max effort; Vals AI CorpFin v2 evaluation with Sonnet 4.5 judge
Metric: Accuracy
Original source · Retrieved 2026-08-16T00:00:00.000Z
Exact-value match to an existing verified, comparable, pinned-configuration observation. Archived review retained; not asserted newly independently replicated.
MortgageTax — Vals: 63.99%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: mortgage_tax overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
SAGE — Vals: 51.25%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: sage overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
Code Migration †: 23.96%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: code-migration overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
Toolathlon-Verified: 72.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 72.5 for Qwen3.8 Max on Toolathlon-Verified still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Agents' Last Exam: 27%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; XHigh; Claude Code
Metric: pass rate, ALE-V1 147 tasks; not partial score
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
LiveCodeBench: 87.85%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: lcb overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
CyberGym: 78.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 78.5 for Qwen3.8 Max on CyberGym still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Humanity's Last Exam w/ tools: 56.2%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 56.2 for Qwen3.8 Max on Humanity's Last Exam w/ tools still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Design Arena (Elo): 1388 native-points
Contributes to the score. Source category: benchmark_org. Review status: reviewed-archive.
Configuration: qwen3.8-max; max effort; Design Arena 2026-08-11 rating snapshot
Metric: Elo rating
Original source · Retrieved 2026-08-16T00:00:00.000Z
Exact-value match to an existing verified, comparable, pinned-configuration observation. Archived review retained; not asserted newly independently replicated.
Vals Multimodal Index: 65.39%
Not used in the score. Source category: benchmark_org. Review status: excluded.
Configuration: qwen3.8-max; max effort; Vals AI multimodal index methodology
Metric: Composite score
Original source · Retrieved 2026-08-16T00:00:00.000Z
Held-out composite, never a scoring input
ProgramBench v1 (Raw Pass Rate) — Vals: 39.971%
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: alibaba/qwen3.8-max · Vals published row (effort not stated)
Metric: Raw Pass Rate: mean percent of hidden behavioral tests passed per task. Not Fully Resolved (all tests pass) and not Almost Resolved (≥95% of tests pass).
Original source · Retrieved 2026-09-05
Matched exact metric/value and the archived benchmark-specific configuration review. Unknown native effort stays explicitly unknown.
SkillsBench †: 42.01%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: skillsbench overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
FrontierSWE: 73.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 73.5 for Qwen3.8 Max on FrontierSWE still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
FrontierMath v2 Tier 4: 46.3%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 46.3 for Qwen3.8 Max on FrontierMath v2 Tier 4 still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
SWE-bench Pro: 67.7%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 67.7 for Qwen3.8 Max on SWE-bench Pro still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
CharXiv (with CI / RQ): 93.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 93.5 for Qwen3.8 Max on CharXiv (with CI / RQ) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
MMMU-Pro: 82.312139%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: accuracy, AA
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
OSWorld 2.0 — Anthropic H2H: 46.7%
Contributes to the score. Source category: third_party. Review status: reviewed-archive.
Configuration: qwen3.8-max; max effort; Anthropic Opus 5 published head-to-head setup
Metric: Task success
Original source · Retrieved 2026-08-16T00:00:00.000Z
Exact-value match to an existing verified, comparable, pinned-configuration observation. Archived review retained; not asserted newly independently replicated.
ExploitBench: 28.8%
Not used in the score. Source category not recorded. Review status: excluded.
Inherited comparator metric/scaffold equivalence to Astra Cap Percent is not established; the source flags possible contamination. Excluded pending protocol audit.
JobBench: 53.4%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 53.4 for Qwen3.8 Max on JobBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
BabyVision (with CI): 91.3%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 91.3 for Qwen3.8 Max on BabyVision (with CI) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
PerceptionBench: 63.5%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 63.5 for Qwen3.8 Max on PerceptionBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
LVBench (with Memory): 85.6%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 85.6 for Qwen3.8 Max on LVBench (with Memory) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
OSWorld-Verified: 86.1%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 86.1 for Qwen3.8 Max on OSWorld-Verified still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Creative Writing v3: 1842 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: *Qwen/Qwen3.8-2.4T-A95B; published evaluation, effort unspecified
Metric: Creative Writing v3 Elo
Original source · Retrieved 2026-09-06
Exact checkpoint on the evaluator-hosted board. A starred model is externally submitted; it is not claimed as independently rerun by the benchmark owner.
NL2Repo: 55.9%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 55.9 for Qwen3.8 Max on NL2Repo still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
CoWorkBench: 74.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 74.8 for Qwen3.8 Max on CoWorkBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
PaperBench (Replication Score): 93%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 93 for Qwen3.8 Max on PaperBench (Replication Score) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
QwenReactBench (Elo): 1724 native-points
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 1724 for Qwen3.8 Max on QwenReactBench (Elo) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
ERQA: 77.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 77.8 for Qwen3.8 Max on ERQA still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
Vision2Web (Avg. Frontend/Webpage/etc.): 69%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 69 for Qwen3.8 Max on Vision2Web (Avg. Frontend/Webpage/etc.) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
MobileWorld: 77.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 77.8 for Qwen3.8 Max on MobileWorld still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
WebArena-Verified: 66.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 66.8 for Qwen3.8 Max on WebArena-Verified still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
τ³-Banking: 51.340206%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: strict task success, AA
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
CritPt: 20%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: accuracy, AA official grading
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
GDP.pdf: 23.2%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen 3.8 Max (xHigh reasoning); Surge original evaluation
Metric: all-pass percentage, original Surge GDP.pdf
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
ProofBench v1.1 — Vals: 58%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: proof_bench overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
Vibe Code Bench v1.1 — Vals: 64.7%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: alibaba_qwen3.8-max; Vals sole published default; effort unspecified
Metric: vibe-code overall percentage in Vals benchmark harness
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
MineBench: 1333 native-points
Not used in the score. Source category not recorded. Review status: excluded.
Unresolved Pro/base model identities in source catalog; exclude until matched.
MLCR-AA (Medical Long Context Reasoning): 19.444444%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8 Max; Artificial Analysis published evaluation harness
Metric: overall accuracy, AA
Original source · Retrieved 2026-09-06
Best published result among 1 reasoning configurations of the exact AA model release; fallback configurations excluded.
IFBench: 82.8%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 82.8 for Qwen3.8 Max on IFBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
AndroidWorld: 85.3%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 85.3 for Qwen3.8 Max on AndroidWorld still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
CWE-bench: 37.5%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Qwen3.8-Max; high; opencode
Metric: pass@1, 100 held-out audit-and-patch tasks
Original source · Retrieved 2026-09-06
Reconciled against the exact model/configuration in the evaluator’s public source. Updated source value recorded explicitly; best published reasoning mode selected within the same benchmark protocol.
ZeroBench: 24%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 24 for Qwen3.8 Max on ZeroBench still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
SimpleVQA: 75%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 75 for Qwen3.8 Max on SimpleVQA still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
MathVision (with CI): 97.7%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 97.7 for Qwen3.8 Max on MathVision (with CI) still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
OmniDocBench 1.5: 92.1%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 92.1 for Qwen3.8 Max on OmniDocBench 1.5 still lacks a matched source entry establishing its checkpoint and benchmark-specific metric, tools and retry setup. This is a citation/comparability gap, not a finding that the result is false or useless. More or maximum reasoning effort is not required.
RuneBench (30m, mean ln(1 + XP/min)): 5.347003 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: qwen38max
Metric: Arithmetic mean of ln(1 + peakXpRate) over all 16 skills, exactly as the owner’s Heatmap.js default ranking. Data rates are already normalized; do not divide by 200 again.
Original source · Retrieved 2026-09-06
Matched exact metric/value and the archived benchmark-specific configuration review. Unknown native effort stays explicitly unknown.
VoxelBench (text-to-voxel, Glicko-2): 1847 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: Qwen3.8-Max
Metric: Glicko-2 rating from the text-to-voxel board; not win percentage, deviation, image-input mode or MineBench Elo.
Original source · Retrieved 2026-09-06
Matched exact metric/value and the archived benchmark-specific configuration review. Unknown native effort stays explicitly unknown.
Roboflow Vision Evals (six-task mean, high tier): 85%
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: Require a complete six-task high-tier panel, the highest published benchmark tier. Retain high-tier scores even when lower than low-tier. Do not substitute the best of three repetitions: use the published mean. Each panel enters the fit once; do not also fit its components.
Metric: Arithmetic mean of six published high-tier task means; derived by The Latent, not Roboflow’s official low-tier overall score.
Original source · Retrieved 2026-09-06
Matched exact metric/value and the archived benchmark-specific configuration review. Unknown native effort stays explicitly unknown.
Code Arena WebDev (overall): 1670 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: qwen3.8-max
Metric: Published overall WebDev preference rating, not task success percentage or Arena Text score.
Original source · Retrieved 2026-09-06
Matched exact metric/value and the archived benchmark-specific configuration review. Unknown native effort stays explicitly unknown.
Cite this model record
The Latent. “Qwen3.8-Max: score and benchmark evidence.” 2026-09-06. Release tli-2026-v1.0-2026-09-06.
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