RankingEffort benchmarks

Muse Spark 1.3 effort benchmarks

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

Model

Muse Spark 1.3

60 measured results · 2 reported effort labels · 46 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

Muse Spark 1.3 · XHigh: 70.3 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?

Artificial Analysis · 33.4% direct comparison weight · independent
Meta · 25.0% direct comparison weight · provider report
LiveBench · 22.3% direct comparison weight · independent
Vals AI · 19.2% 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 evidence	Recomputed score	Change
Artificial Analysis	70.1	-0.3
ARC Prize	72.1	+1.7
Datacurve	68.0	-2.4
LiveCodeBench	70.3	-0.0
Scale	71.0	+0.7
Terminal-Bench	70.5	+0.2
Cognition	71.7	+1.4
LiveBench	70.8	+0.5
SWE-rebench	70.1	-0.3
Epoch AI	70.4	+0.1
Vals AI	69.3	-1.1
Provider reports · Anthropic	70.3	-0.1
Provider reports · Moonshot AI	70.3	-0.0
Provider reports · Meta	61.9	-8.4
Provider reports · Mistral	70.3	+0.0
All provider reports	61.9	-8.5

Every benchmark family

Removed evidence	Recomputed score	Change
deepswe	68.0	-2.4
harvey	68.8	-1.6
arc-agi	71.9	+1.5
frontiercode	71.7	+1.4
terminal-bench	71.6	+1.3
livebench-language	71.5	+1.2
vals-excel-modeling	71.4	+1.1
vals-finance-agent	69.4	-1.0
multi-swe-bench	69.5	-0.8
vibe-code	69.6	-0.8
mmmu-pro	71.1	+0.7
omniscience	70.9	+0.6
livebench-instructions	69.8	-0.5
mmlu-pro	70.7	+0.3
vals-code-migration	70.6	+0.3
swe-rebench	70.1	-0.3
vals-legal-research	70.6	+0.3
ifbench	70.1	-0.3
tau-bench	70.1	-0.2
epoch-game-puzzles	70.1	-0.2
hle	70.5	+0.2
livebench-data	70.5	+0.2
swe-atlas-qna	70.2	-0.2
scicode	70.2	-0.2
frontiermath	70.5	+0.2
livebench-math	70.2	-0.2
arc-agi-3	70.2	-0.2
critpt	70.5	+0.1
simpleqa	70.2	-0.1
swe-atlas-test-writing	70.2	-0.1
livebench-reasoning	70.5	+0.1
gdpval	70.2	-0.1
gpqa	70.3	-0.1
briefcase	70.3	-0.1
aime	70.4	+0.0
enigma-eval	70.4	+0.0
gdp-pdf	70.4	+0.0
enterprise-ops	70.3	-0.0
livebench-coding	70.4	+0.0
apex-agents	70.4	+0.0
automationbench	70.4	+0.0
swe-atlas-refactoring	70.3	-0.0
analyst-agent	70.4	+0.0
gmmlu	70.4	+0.0
math500	70.4	+0.0
itbench	70.3	-0.0
swe-bench-pro	70.4	+0.0
aa-lcr	70.3	-0.0
livecodebench	70.3	-0.0

What evidence is missing from the fit?

Across all collected settings for this model: 84 observations, 62 contributing, 0 matched without graph weight and 22 excluded. Counts do not establish rank eligibility.

2 · Benchmark family or source protocol has not been reviewed
2 · 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
7 · No matched, identified effort unit; duplicates and unnamed comparators do not add evidence
2 · No matched opponent in this evaluation unit
2 · 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

AMuse Spark 1.3 · XHigh5 of 7 capabilities supported

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

Agentic
A77.2Supported
Hard reasoning
A66.1Supported
Coding
A68.4Supported
Human pref
Unknown
Knowledge
A54.1Supported
Multimodal
A50.6Preliminary
Long context
A80.0Supported

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.

Compare this configuration →Explore the model evidence profile →

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 / source	XHigh	Max
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.	1,483.22 Elo Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	1,589.18 Elo Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	83% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	83% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	56.84% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	57.85% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	26% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	24.86% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	24.2% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	26.6% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	1,662.34 Elo Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	1,703.34 Elo Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	94.14% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	93.54% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
Harvey LAB-AA: Criterion Pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	95.48% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	Not reported
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.	47.45% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	48.7% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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 reported	41.11% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
MMMU-ProArtificial 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.	82.02% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	Not reported
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.	23.12 Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	25 Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	41.52% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	43.58% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	59.72% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	58.8% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	47.22% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	50.52% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	85.39% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	84.27% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	16.67% Reported settings Muse Spark 1.3 (xhigh); Model source: https://artificialanalysis.ai/models/muse-spark-1-3-xhigh	33.33% Reported settings Muse Spark 1.3 (max); Model source: https://artificialanalysis.ai/models/muse-spark-1-3
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.	99% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	80.44% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	81.69% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_generation; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	94% Reported settings LiveBench official task evaluation; livebench-2026-06-25-connections; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	90.5% Reported settings LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	96% Reported settings LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	77.27% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	76% Reported settings LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	97.06% Reported settings LiveBench official task evaluation; livebench-2026-06-25-math_comp; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	91.74% Reported settings LiveBench official task evaluation; livebench-2026-06-25-olympiad; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	78.62% Reported settings LiveBench official task evaluation; livebench-2026-06-25-paraphrase; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	68.38% Reported settings LiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	55% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	72.52% Reported settings LiveBench official task evaluation; livebench-2026-06-25-simplify; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-spatial; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	77.48% Reported settings LiveBench official task evaluation; livebench-2026-06-25-story_generation; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	83.4% Reported settings LiveBench official task evaluation; livebench-2026-06-25-summarize; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	48.19% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablejoin; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablereformat; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	84.62% Reported settings LiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	60% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	86% Reported settings LiveBench official task evaluation; livebench-2026-06-25-typos; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; muse-spark-1.3-xhigh; checkpoint=muse-spark-1.3	Not reported
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.	58.9% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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}	Not reported
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.	40.87% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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}	Not 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.	62.71% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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}	Not reported
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.	72.29% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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}	Not reported
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.	82.86% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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"}	Not reported
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.	22.08% Reported settings {"checkpoint":"muse-spark-1.3","evaluatorModel":"meta/muse_spark_1_3","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}	Not 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

Muse Spark 1.3 effort benchmarks

Muse Spark 1.3

Capability score evidence

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context