Muse Spark 1.2: score and benchmark evidence
Historical release · · Meta
92.2 points · Rank 14 among 19 ranked models · Stability range 83.7–100.7 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 score summarizes demonstrated capability across published reasoning settings and 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-presentation-1. 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 | -0.16 | 7 |
| Coding & software engineering | -0.31 | 7 |
| Agentic tool & computer use | -0.19 | 5 |
| Professional & real-world work | -0.16 | 14 |
| Multimodal & vision | -0.21 | 2 |
| Cybersecurity | Unavailable | 0 |
| Preference & communication | -0.30 | 1 |
Published benchmark evidence
36 results contribute to this score, from 52 collected results and 36 contributing benchmark families. Counts are not independent sample sizes.
Results, source citations, review decisions and compatible reasoning modes are stored in a versioned relational database. Each publication uses a sealed, checksum-verified export; CSV files are optional exports, not editable scoring inputs. Previous revisions remain available for audit. 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 score stability range is a 95% bootstrap score interval conditional on frozen calibration and comparable evidence availability. It resamples benchmark families and evaluators and adds a frozen missing-evidence correction. It excludes selection across reasoning settings, selective publication, calibration changes and new domains. It is not a 95% guarantee about true capability or where a future score will land. Sparse or conflicting evidence can widen the range.
Reporting sensitivity: ±1.4 points. Sensitivity to selectively published results. This stress range is not a confidence interval or a probability statement.
GDPval-AA v2 (Elo): 1527.08 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 80.149813%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 54.867257%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: muse-spark-1-2; 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: 1499 native-points
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 1499 for Muse Spark 1.2 on LMArena (Chatbot Arena) — Text 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 Intelligence Index v4.1.1 (score): 57 native-points
Not used in the score. Source category not recorded. Review status: excluded.
Held-out composite, never a scoring input
GPQA Diamond: 90.40404%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 83.3%
Not used in the score. Source category: independent. Review status: unresolved.
Configuration: Muse Spark 1.2 (xhigh)
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: 60.6%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 56.98%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 57.407407%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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): 45.458758%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 43.75%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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): 25.42%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 1346.23 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 90.06%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 86.6%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 85.26%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 80.38%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 76.25%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 76.25 for Muse Spark 1.2 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: 71.88%
Not used in the score. Source category: benchmark_org. Review status: excluded.
Configuration: muse-spark-1.2; xhigh 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: 68.47%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 49.35%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 38.2%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 38.2 for Muse Spark 1.2 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: 27.2 native-points
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 88.28%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 78 for Muse Spark 1.2 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: 70.94%
Contributes to the score. Source category: benchmark_org. Review status: reviewed-archive.
Configuration: muse-spark-1.2; xhigh 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: 65.42%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 47.66%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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 †: 29.95%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 75.9%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Meta Muse Spark 1.2 (xhigh) ✓; Default agent
Metric: pass@1, verified 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.
Design Arena (Elo): 1373 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: muse-spark-1.2; xhigh 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: 69.8%
Not used in the score. Source category: benchmark_org. Review status: excluded.
Configuration: muse-spark-1.2; xhigh 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
SkillsBench †: 53.04%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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.
OSWorld 2.0 — Anthropic H2H: 47.6%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 47.6 for Muse Spark 1.2 on OSWorld 2.0 — Anthropic H2H 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.
JobBench: 61.6%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 61.6 for Muse Spark 1.2 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.
Creative Writing v3: 1835.4 native-points
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 1835.4 for Muse Spark 1.2 on Creative Writing v3 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.
MCP Atlas †: 90.3%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 90.3 for Muse Spark 1.2 on MCP Atlas † 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: 34.845361%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 17.714286%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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: 16%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (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: 43%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 79.1%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
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: 1653 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.
OSWorld 2.0: 17.9%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 17.9 for Muse Spark 1.2 on OSWorld 2.0 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.
EnterpriseOps-Gym-AA: 47.27%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 47.27 for Muse Spark 1.2 on EnterpriseOps-Gym-AA 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.
MLCR-AA (Medical Long Context Reasoning): 31.111111%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: Muse Spark 1.2 (xhigh); 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.
CWE-bench: 30.3%
Not used in the score. Source category not recorded. Review status: unresolved.
Not admitted after the September 6 model review: the collected 30.3 for Muse Spark 1.2 on CWE-bench 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.
BioMysteryBench v1 — Vals: 64.81%
Contributes to the score. Source category: independent. Review status: reviewed-independent.
Configuration: meta_muse_spark_1_2; Vals xhigh effort
Metric: biomysterybench 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.
RuneBench (30m, mean ln(1 + XP/min)): 5.238233 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: muse12
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.
Roboflow Vision Evals (six-task mean, high tier): 80.016667%
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): 1534 native-points
Contributes to the score. Source category: independent. Review status: reviewed-archive.
Configuration: muse-spark-1.2 (xHigh)
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. “Muse Spark 1.2: score and benchmark evidence.” 2026-09-06. Release tli-2026-v1.0-2026-09-06-presentation-1.
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