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Gemini 3 Pro vs Muse Wonder Full

Full profiles: Gemini 3 Pro (Google) and Muse Wonder Full (Meta): every benchmark, price and rank.

Updated · Data from 12 sources

As of 24 Oct 2026, Muse Wonder Full (max) is the better pick for most workloads: it leads on quality (70.7 vs 60.4 on the BenchLeader Index). Muse Wonder Full leads in every category we measure both in.

Gemini 3 Pro benchmarks Google Muse Wonder Full benchmarks max MetaOpen in the comparison tool

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingMuse Wonder Full72 vs 58 category score; Arena WebDev 1726 vs 1440High
ReasoningMuse Wonder Full95 vs 66 category scoreHigh
KnowledgeMuse Wonder Full71 vs 56 category scoreHigh
Chat quality (human preference)–Only Gemini 3 Pro has an Arena rating (68 category score)Not comparable
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Muse Wonder Full (max) leads on quality: 70.7 vs 60.4.
  • Gemini 3 Pro is stronger in agents & tools, human preference, instruction following, maths, multimodal.
  • Muse Wonder Full (max) is stronger in coding, knowledge, reasoning, composite, long context.

At a glance

SpecGemini 3 ProMuse Wonder Full
DeveloperGoogleMeta
Released18 Nov 202512 Oct 2026
Context window (tokens)–1,000,000
Compared atGemini 3 ProMuse Wonder Full (max)
Open weightsNoNo

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGemini 3 ProMuse Wonder Full (max)Leader
Reasoning65.694.9Muse Wonder Full
Coding57.972.3Muse Wonder Full
Agents & tools61.8–not comparable
Maths54.3–not comparable
Knowledge56.071.4Muse Wonder Full
Instruction following60.4–not comparable
Human preference67.8–not comparable
Multimodal65.6–not comparable
Long context–67.0not comparable
Composite–91.9not comparable

Where sources disagree

Across the 1 benchmarks both have, Gemini 3 Pro leads 0, Muse Wonder Full leads 1. Every overall index that rates both puts Muse Wonder Full ahead.

Overall indexGemini 3 ProMuse Wonder Full (max)Leader
BenchLeader Index60.470.7Muse Wonder Full
AA Intelligence Index v4.3.222.3†55.8Muse Wonder Full

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Every benchmark

137 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGemini 3 ProMuse Wonder Full (max)
BenchLeader IndexBenchLeader60.470.7
Agents & tools scoreBenchLeader61.8–
Coding scoreBenchLeader57.972.3
Human preference scoreBenchLeader67.8–
Instruction following scoreBenchLeader60.4–
Knowledge scoreBenchLeader56.071.4
Maths scoreBenchLeader54.3–
Multimodal scoreBenchLeader65.6–
Reasoning scoreBenchLeader65.694.9
Composite scoreBenchLeader–91.9
Long context scoreBenchLeader–67.0
Context windowBenchLeader–1,000,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub92.6%–
Humanity's Last ExamScale AI / CAIS37.5%–
SimpleBenchSimpleBench76.4%–
Arena Hard PromptsArena (LMArena)1502–
GPQA Diamond (AA)Artificial Analysis90.8%†–
Humanity's Last Exam (AA)Artificial Analysis39.7%†53.6%
GPQA Diamond (Vals)Vals AI91.7%†–
Kagi LLM BenchmarkKagi LLM Benchmark80.1%–
GPQA Diamond (HELM)HELM Capabilities80.3%–
ARC-AGI-1ARC Prize75.0%–
ARC-AGI-2ARC Prize54.0%–
CritPtArtificial Analysis9.1%†32.9%
MysteryMechanismVals AI–35.1%
SciPredictScale AI SEAL25.3%–
CL-benchEpoch AI Benchmarking Hub15.8%–
ForecastBenchForecastBench65.3%–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub72.9%–
WeirdMLWeirdML69.9%–
GSO-BenchGSO-Bench18.6%–
Arena CodingArena (LMArena)1517–
Arena WebDevArena (LMArena)14401726
SciCode (AA)Artificial Analysis–62.6%
LiveCodeBenchVals AI86.4%–
IOIVals AI–79.8%
SWE-bench (Vals)Vals AI76.4%†–
Show all 137 benchmarks
MetricPublisherGemini 3 ProMuse Wonder Full (max)
Coding
SWE-Bench ProScale AI SEAL43.3%–
SWE-bench Verified (bash only)SWE-bench74.2%–
SWE-bench Verified (any scaffold)SWE-bench77.4%–
Code MigrationVals AI–61.0%
Code Migration v1.1Vals AI–62.8%
ProgramBenchVals AI–0.5%
SWE-bench MultimodalVals AI–47.3%
Vibe Code Bench 1-100Vals AI–34.0%
Vibe Code Bench v1.1Vals AI14.3%†86.0%
SWE-Bench Pro (private)Scale AI SEAL43.3%–
ALE-BenchEpoch AI Benchmarking Hub1176.8–
AlgoTuneAlgoTune1.8–
Terminal-Bench 4.0 (AA)Artificial Analysis–57.1%
FrontierCode 1.1 (AA)Artificial Analysis–44.9%
Agents & tools
Terminal-BenchTerminal-Bench69.4%–
GDPvalOpenAI40.3%–
Remote Labor IndexScale AI / CAIS1.3%–
Terminal-Bench HardArtificial Analysis41.7%†–
τ²-Bench Telecom (AA)Artificial Analysis87.1%†–
MCP AtlasScale AI SEAL70.3%–
BFCL OverallBerkeley Function Calling Leaderboard72.5%–
τ²-benchτ²-bench82.5%†–
τ³-bench Bankingτ²-bench18.0%†–
GDPval-AA v2.1Artificial Analysis–67.8%
CyberBenchVals AI–73.6%
Finance Agent v2Vals AI–59.1%
Finance Agent v2.1Vals AI–67.6%
Harvey's Legal Agent Benchmark v1.1Vals AI–23.3%
Harvey's Legal Agent Benchmark v1Vals AI–21.7%
Legal Research BenchVals AI–53.4%
Poker AgentVals AI1078.9%–
Robo-benchVals AI–10.4%
SREBenchVals AI–11.8%
Tax Agent BenchVals AI–43.0%
Terminal-Bench 2.0 (Vals)Vals AI55.1%†–
Terminal-Bench 4.0 (Vals)Vals AI–58.1%
Terminal-Bench ScienceVals AI–37.1%
BALROGBALROG58.1%–
DeepResearch BenchDeepResearch Bench46.3%†–
METR Time HorizonsMETR71.0%–
Vending-Bench 2Andon Labs5478.2–
AutomationBenchArtificial Analysis–71.3%
GDP.pdf (AA)Artificial Analysis–32.6%
Harvey LAB-AA v1.1Harvey–13.1%
AA-Briefcase v1.1Artificial Analysis–1729
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–37.1%
Maths
OTIS Mock AIMEEpoch AI Benchmarking Hub91.4%–
ProofBenchVals AI20.0%–
AIME (Vals)Vals AI96.7%†–
MGSMVals AI93.9%†–
AIME 2026MathArena91.7%–
HMMT February 2026MathArena86.4%–
MathArena ApexMathArena23.4%–
Omni-MATH (HELM)HELM Capabilities55.6%–
MATH 500Vals AI96.4%†–
Arena MathsArena (LMArena)1477–
Knowledge
AA-OmniscienceArtificial Analysis15.3†30.1
MMLU-ProVals AI90.1%–
LegalBenchVals AI87.0%†87.4%
CorpFinVals AI63.7%†–
TaxEvalVals AI72.6%†–
MedQAVals AI96.0%†–
PRBench FinanceScale AI SEAL39.2%–
PRBench LegalScale AI SEAL40.6%–
MultiNRCScale AI SEAL59.0%–
MMLU-Pro (HELM)HELM Capabilities90.3%–
BioMysteryBenchVals AI–73.3%
CaseLaw v2Vals AI53.1%†–
Excel Modeling BenchmarkVals AI–71.9%
Excel Modeling Benchmark v1.1Vals AI–75.0%
MedCodeVals AI52.2%†49.9%
MedScribeVals AI72.0%†89.3%
Public Benefits Bench v1.1Vals AI–73.8%
AA-Omniscience: accuracyArtificial Analysis55.8%†43.2%
AA-Omniscience: non-hallucinationArtificial Analysis8.6%†77.0%
Global-MMLU-Lite (AA)Artificial Analysis92.2%†–
Instruction following
IFBenchArtificial Analysis70.4%†–
MultiChallengeScale AI SEAL65.7%–
TutorBenchScale AI SEAL53.7%–
IFEval (HELM)HELM Capabilities87.6%–
WildBench (HELM)HELM Capabilities85.9%–
Arena Instruction FollowingArena (LMArena)1473–
Human preference
Arena TextArena (LMArena)1486–
Arena Creative WritingArena (LMArena)1485–
Arena Multi-turnArena (LMArena)1496–
Arena Longer QueriesArena (LMArena)1491–
Multimodal
Arena VisionArena (LMArena)1305–
MMMU-ProArtificial Analysis80.2%†–
VISTAScale AI SEAL51.5%–
MMMU-Pro (official)MMMU81.0%–
MMMU-Pro (Vals)Vals AI87.5%†–
MortgageTaxVals AI69.1%†–
SAGEVals AI47.6%†–
AudioMCScale AI SEAL54.6%†–
AudioMC (text output)Scale AI SEAL54.6%†–
VTBScale AI SEAL26.9%–
GeoBenchGeoBench84.0%–
VPCTEpoch AI Benchmarking Hub91.0%–
Long context
AA-LCRArtificial Analysis76.0%†83.7%
Arena DocumentArena (LMArena)1451–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub153.1–
AA Intelligence Index v4.3.2Artificial Analysis28.0†55.8
Vals IndexVals AI–66.8
HELM Capabilities meanHELM Capabilities79.9%–
Vals Finance IndexVals AI–64.5%
Vals RSI IndexVals AI–24.4%
Vals Science IndexVals AI–48.5%
Vals Router IndexVals AI–66.8%†
Safety & honesty
FORTRESSScale AI SEAL41.7%–
MASKScale AI SEAL42.6%–
PropensityBenchScale AI SEAL52.9%–
Metadata
AA Openness IndexArtificial Analysis5.6†–

Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Muse Wonder Full (max): 1 new result (Terminal-Bench-Science 0.1 (AA)).
  • Gemini 3 Pro: 1 score revision.
  • Muse Wonder Full (max): 9 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
  • Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
  • Muse Wonder Full (max): BenchLeader Index 68.6 → 70.7.
  • Gemini 3 Pro: 1 score revision.
  • Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
  • Muse Wonder Full (max): 21 new results (IOI, LegalBench, Vals Index…).
  • Gemini 3 Pro: 1 new result (PRBench Legal).
  • Muse Wonder Full (max): 1 new result (Harvey LAB-AA v1.1).

Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs

Gemini 3 Pro vs Muse Wonder Full: questions

Is Gemini 3 Pro better than Muse Wonder Full?
Muse Wonder Full (max) leads on quality: 70.7 vs 60.4. The BenchLeader Index combines every independent quality benchmark; Muse Wonder Full (max) is ahead overall as of 2026-10-24, but check the category scores for your use.
Is Gemini 3 Pro better than Muse Wonder Full for coding?
Muse Wonder Full scores higher in coding (72 vs 58 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1440 for Gemini 3 Pro against 1726 for Muse Wonder Full.
Do independent benchmarks agree on Gemini 3 Pro vs Muse Wonder Full?
Across the 1 benchmarks both have, Gemini 3 Pro leads 0, Muse Wonder Full leads 1. Every overall index that rates both puts Muse Wonder Full ahead.
When was Muse Wonder Full released?
Muse Wonder Full was released on 12 Oct 2026.