RankingEffort benchmarks

Muse Spark 1.2 effort benchmarks

Compare measured Low, Medium, High and other settings. Every number keeps its source.

Muse Spark 1.2

52 measured results · 3 reported effort labels · 50 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

Muse Spark 1.2 · XHigh: 45.6 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?
  • Meta · 21.5% direct comparison weight · provider report
  • Artificial Analysis · 19.2% direct comparison weight · independent
  • Datacurve · 18.8% direct comparison weight · independent
  • Vals AI · 17.1% direct comparison weight · independent
  • LiveBench · 16.3% direct comparison weight · independent
  • Epoch AI · 7.0% direct comparison weight · independent

These shares describe the comparisons entering the fit, not fractions of the final score.

How sensitive is this score?

Remove one evaluator or family and refit the graph against the same overall panel. Values use the matching dataset audited 2026-09-12. These are sensitivity checks, not confidence intervals; ranking eligibility may also change.

Removed evidenceRecomputed scoreChange
Artificial Analysis47.6+2.0
ARC Prize47.7+2.1
Datacurve42.2-3.4
LiveCodeBench45.6-0.0
Scale46.8+1.2
Terminal-Bench45.8+0.2
Cognition46.9+1.2
LiveBench47.2+1.5
SWE-rebench45.2-0.4
Epoch AI45.3-0.3
Vals AI43.2-2.4
Provider reports · Anthropic45.6-0.0
Provider reports · Moonshot AI45.5-0.1
Provider reports · Meta50.4+4.8
Provider reports · Mistral45.6+0.0
All provider reports50.3+4.7
Every benchmark family
Removed evidenceRecomputed scoreChange
deepswe42.2-3.4
arc-agi47.5+1.9
harvey44.3-1.3
terminal-bench46.9+1.3
frontiercode46.9+1.2
vals-finance-agent44.6-1.0
mmmu-pro46.6+1.0
simpleqa44.8-0.8
vals-excel-modeling46.4+0.8
multi-swe-bench44.8-0.8
vals-code-migration46.4+0.8
livebench-language46.2+0.6
mmlu-pro46.2+0.6
hle46.1+0.5
swe-rebench45.2-0.4
vibe-code45.2-0.4
omniscience46.0+0.4
livebench-instructions45.3-0.3
frontiermath45.9+0.3
livebench-math45.9+0.3
ifbench45.4-0.2
vals-legal-research45.4-0.2
enterprise-ops45.4-0.2
swe-atlas-qna45.4-0.2
tau-bench45.4-0.2
epoch-game-puzzles45.4-0.2
livebench-coding45.8+0.2
swe-atlas-test-writing45.4-0.2
scicode45.5-0.1
arc-agi-345.5-0.1
critpt45.7+0.1
aime45.7+0.1
livebench-data45.7+0.1
gdp-pdf45.7+0.1
enigma-eval45.7+0.1
briefcase45.5-0.1
gdpval45.5-0.1
automationbench45.7+0.1
gpqa45.7+0.1
livebench-reasoning45.5-0.1
apex-agents45.6+0.0
itbench45.6-0.0
aa-lcr45.6-0.0
swe-atlas-refactoring45.6-0.0
swe-bench-pro45.6+0.0
gmmlu45.6+0.0
livecodebench45.6-0.0
analyst-agent45.6+0.0
math50045.6+0.0
What evidence is missing from the fit?

Across all collected settings for this model: 68 observations, 52 contributing, 0 matched without graph weight and 16 excluded. Counts do not establish rank eligibility.

  • 1 · Benchmark family or source protocol has not been reviewed
  • 3 · Evaluator has not been reviewed for independent admission
  • 1 · Secondary GDPval-AA v2 leaderboard report; the original evaluator already supplies this exact configuration. Reprinted or rerated board snapshots are not additional evaluation evidence.
  • 6 · Supporting evidence outside the reviewed capability core
  • 3 · No matched opponent in this evaluation unit
  • 1 · Different native coding harnesses are mixed; exact shared agent configuration is not established.
  • 1 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100
Muse Spark 1.2 · XHigh capability radarComparison scores from 0 to 100. Unknown capabilities have no point; lines stop at gaps. Hollow points are preliminary. Exact values and support labels follow the chart.AgenticHard reasoningCodingHuman prefKnowledgeMultimodalLong context50100Muse Spark 1.2 · XHigh · Agentic: 55.8 · SupportedMuse Spark 1.2 · XHigh · Hard reasoning: 47.0 · SupportedMuse Spark 1.2 · XHigh · Coding: 51.1 · SupportedMuse Spark 1.2 · XHigh · Knowledge: 47.9 · SupportedMuse Spark 1.2 · XHigh · Long context: 56.3 · Supported

Gaps are unknown, not zero. Hollow points are preliminary.

  • Agentic

    A55.8Supported
  • Hard reasoning

    A47.0Supported
  • Coding

    A51.1Supported
  • Human pref

    Unknown
  • Knowledge

    A47.9Supported
  • Multimodal

    Unknown
  • Long context

    A56.3Supported

Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.

These are published benchmark scores. Supported effort estimates also appear on the Capability leaderboard. Results from different harnesses occupy different rows. Missing cells stay unknown; no scores are copied between effort levels.

Benchmark / sourceLowHighXHigh
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis

Unit: elo. Source collected 2026-09-12.

Not reportedNot reported
1,343.5 Elo
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
79%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
40.61%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
17.71%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

EnterpriseOps-Gym-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Overall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
47.27%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

GDP.pdf: All-passArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
17.4%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

GDPval-AA v2 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Elo rating for performance on real-world work tasks · Anchored to a human baseline of 1,000 · Higher is better · Evaluation results measured independently by Artificial Analysis

Unit: elo. Source collected 2026-09-12.

Not reportedNot reported
1,523.32 Elo
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

GPQA DiamondArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
90.4%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
45.46%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
31.11%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Unit: index. Source collected 2026-09-12.

Not reportedNot reported
27.2
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader
Benchmark details

AA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
45.38%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
57.41%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

𝜏³-BankingArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
34.85%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

Terminal-Bench v2.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
80.15%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours
Benchmark details

Benchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
7.07%
Reported settings

Muse Spark 1.2 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-2

DeepSWE v1.1Datacurve · mini-swe-agent
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
54.9%
Reported settings

muse-spark-1-2; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs

VulcanBench v3 · Report 19VulcanBench · VulcanBench bare-bones API loop, deterministic hidden tests in Docker
Benchmark details

Frozen v3, 23 post-cutoff repository tasks. Published pass@1; repeat counts and time budgets vary by report. Display only pending comparability review.

Unit: percent. Source collected 2026-09-12.

87%
Reported settings

Muse Spark 1.2; source label: low; low effort; 23 tasks; evaluation 2026-08-25. See source for repeat counts and wall-clock budget.

73.9%
Reported settings

Muse Spark 1.2; source label: high; high effort; 23 tasks; evaluation 2026-08-25. See source for repeat counts and wall-clock budget.

52.2%
Reported settings

Muse Spark 1.2; source label: xhigh; xhigh effort; 23 tasks; evaluation 2026-08-25. See source for repeat counts and wall-clock budget.

LiveBench · AMPS Hard · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
89%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · code completion · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
80.44%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-code_completion; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · code generation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
74.65%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-code_generation; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · connections · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
100%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-connections; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · consecutive events · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
82.55%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · integrals with game · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
91%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · javascript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
72.73%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · logic with navigation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
88%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · math comp · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
97.06%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-math_comp; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · olympiad · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
87.76%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-olympiad; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · paraphrase · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
74.3%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-paraphrase; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · plot unscrambling · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
61.72%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · python · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
50%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · simplify · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
68.73%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-simplify; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · spatial · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
96%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-spatial; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · story generation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
73.65%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-story_generation; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · summarize · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
80.62%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-summarize; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · tablejoin · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
46.83%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-tablejoin; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · tablereformat · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
100%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-tablereformat; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · theory of mind · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
80.77%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · typescript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
50%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · typos · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
74%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-typos; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

LiveBench · zebra puzzle · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
95.25%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; muse-spark-1.2-xhigh; checkpoint=muse-spark-1.2

Epoch · SimpleQA Verified · v1.2.0Epoch AI · Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer
Benchmark details

Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
60.3%
Reported settings

Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=muse-spark-1.2_xhigh; run=mLLmVVvo6t23MM5yxq7ryW; mean accuracy; https://epoch.ai/data/benchmarks.csv

Vals AI · Finance Agent v2Vals AI · Vals FAB v2 shared six-tool harness; two-hour task limit
Benchmark details

Overall weighted rubric accuracy, averaged over three runs on 450 tasks. Dealbreaker failures and timeouts score zero. Related categories and all-pass scores are not additional votes. Three-model judge panel; private test set.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
60.6%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":null}

Vals AI · Code Migration v1Vals AI · Vals Code Migration shared agent harness
Benchmark details

Hidden behavior-test pass rate, equally weighted across 40 repositories (30 CLI and 10 COBOL-to-Java). Anti-cheat failures score zero. Code-quality ratings and language splits are not additional votes.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
29.95%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":null}

Vals AI · Legal Research Bench v1Vals AI · Vals Legal Research shared five-tool harness; three-hour task limit
Benchmark details

All-pass accuracy on 208 private legal research tasks. Every expert rubric check must pass; GPT-5.4 judges responses. Partial-credit scores and practice-area splits are not additional votes.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
Vals AI · Excel Modeling Benchmark v1Vals AI · Vals EMB shared workbook agent harness; 3.5-hour task limit
Benchmark details

Mean of seven equally weighted task categories. Template submissions use recalculated Excel cell accuracy; scratch submissions use rubric checks judged by GPT-5.4 Mini XHigh. Partial credit does not mean task completion.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
56.98%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":null}

Vals AI · MMLU-Pro v1Vals AI · Vals MMLU-Pro five-shot chain-of-thought; regex answer grading
Benchmark details

Mean accuracy across 14 subjects under Vals five-shot prompting. Subject splits share one family and are not additional votes. Vals labels this benchmark archived; it is historical corroboration, not ongoing frontier evaluation.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
88.28%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-01","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":null}

Vals AI · Terminal-Bench 2.1Vals AI · Vals Terminus 2 harness; pass@1 on 89 tasks
Benchmark details

Overall task pass rate under the shared Terminus 2 configuration. All task tests must pass. Difficulty splits share one family. Fable 5 and Opus 5 mixed-checkpoint fallback runs are excluded.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
69.66%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":null}

Vals AI · Vibe Code Bench v1.1Vals AI · Vals modified OpenHands harness; five hours or 1,000 turns per app
Benchmark details

Mean app test pass rate on the canonical v1.1 test set. Browser Use executes workflow tests; each test requires at least 90% of its substeps. Automated judging can introduce error. Alternate agents are excluded.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
79.1%
Reported settings

{"checkpoint":"muse-spark-1.2","evaluatorModel":"meta/muse_spark_1_2","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":131072,"verbosity":null,"provider":"Meta","harness":"OpenHands"}

Vals AI · Harvey Legal Agent Benchmark v1Vals AI · Vals Harvey held-out legal file-work protocol; internet disabled
Benchmark details

Mean task resolution across two judges (GPT-5.5 Medium and Sonnet 4.6), requiring every criterion to pass. Criteria pass rates and practice-area splits do not add votes. Shared Harvey family; Fable 5 fallback run excluded.

Unit: percent. Source collected 2026-09-12.

Not reportedNot reported
What these comparisons mean

Each source reports its own effort labels. Matching labels do not establish equal compute budgets or identical fallback behavior. Open Reported settings to inspect the exact model name, agent and task coverage. Multiple results at one level remain visible rather than selecting the best. Source-reported None or Non-reasoning labels are not treated as evidence that an API supports those settings.

These measurements use their own dated source collection. The leaderboard fits identified configurations jointly; it contains no pooled model ratings. Explicit thinking budgets are separate configurations. Read the methodology.

Download all effort benchmark results · 7,424 results across 240 models · Collected 2026-09-12