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GPT-5 Pro vs Muse Wonder Full

Full profiles: GPT-5 Pro (OpenAI) and Muse Wonder Full (Meta): every benchmark, price and rank.

Updated · Data from 9 sources

As of 21 Oct 2026, Muse Wonder Full (max) is the better pick for most workloads: it leads on quality (70.7 vs 59.8 on the BenchLeader Index). Muse Wonder Full leads in every category we measure both in.

GPT-5 Pro benchmarks OpenAI 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
ReasoningMuse Wonder Full95 vs 56 category scoreHigh
KnowledgeMuse Wonder Full71 vs 66 category scoreMedium
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 59.8.
  • GPT-5 Pro is stronger in multimodal.
  • Muse Wonder Full (max) is stronger in knowledge, reasoning, coding, composite, long context.

At a glance

SpecGPT-5 ProMuse Wonder Full
DeveloperOpenAIMeta
Released7 Aug 202512 Oct 2026
Context window (tokens)400,0001,000,000
Compared atGPT-5 ProMuse Wonder Full (max)
Open weightsNoNo
Price in / out / cached input per 1M$15.00 / $120.00 / ––

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.

CategoryGPT-5 ProMuse Wonder Full (max)Leader
Reasoning56.195.0Muse Wonder Full
Coding–72.1not comparable
Knowledge65.871.3Muse Wonder Full
Multimodal67.4–not comparable
Long context–67.0not comparable
Composite–92.1not comparable

Where sources disagree

Across the 0 benchmarks both have, GPT-5 Pro leads 0, Muse Wonder Full leads 0. Every overall index that rates both puts Muse Wonder Full ahead.

Overall indexGPT-5 ProMuse Wonder Full (max)Leader
BenchLeader Index59.870.7Muse 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).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGPT-5 ProMuse Wonder Full (max)
Blended price per 1M tokens$41.25–
Input / output per 1M$15.00 / $120.00– / –
Price per task: chat reply$0.042–
Price per task: summarize a 30-page report$0.252–
Price per task: code edit$0.270–
Price per task: agentic coding session$1.38–
Price per task: structured extraction$0.054–

Each model is compared at its best-ranked reasoning-effort setting. GPT-5 Pro scores 59.8. Muse Wonder Full (max) scores 70.7. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

55 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.

MetricPublisherGPT-5 ProMuse Wonder Full (max)
BenchLeader IndexBenchLeader59.870.7
Knowledge scoreBenchLeader65.871.3
Multimodal scoreBenchLeader67.4–
Reasoning scoreBenchLeader56.195.0
Coding scoreBenchLeader–72.1
Composite scoreBenchLeader–92.1
Long context scoreBenchLeader–67.0
Blended price $/MBenchLeader$41.25–
Context windowBenchLeader400,000 tokens1,000,000 tokens
Reasoning
Humanity's Last ExamScale AI / CAIS31.6%–
SimpleBenchSimpleBench61.6%–
Humanity's Last Exam (AA)Artificial Analysis–53.6%
Kagi LLM BenchmarkKagi LLM Benchmark76.8%–
ARC-AGI-1ARC Prize70.2%–
ARC-AGI-2ARC Prize18.3%–
CritPtArtificial Analysis–32.9%
MysteryMechanismVals AI–35.1%
Chess PuzzlesEpoch AI Benchmarking Hub48.0%†–
Coding
WeirdMLWeirdML60.4%†–
Arena WebDevArena (LMArena)–1726
SciCode (AA)Artificial Analysis–62.6%
IOIVals AI–79.8%
Code MigrationVals AI–61.0%
ProgramBenchVals AI–0.5%
Vibe Code Bench 1-100Vals AI–34.0%
Vibe Code Bench v1.1Vals AI–86.0%
AlgoTuneAlgoTune1.3†–
Terminal-Bench 4.0 (AA)Artificial Analysis–57.1%
FrontierCode 1.1 (AA)Artificial Analysis–44.9%
Agents & tools
GDPval-AA v2.1Artificial Analysis–67.8%
CyberBenchVals AI–73.6%
Finance Agent v2Vals AI–59.1%
Harvey's Legal Agent BenchmarkVals AI–23.3%
Legal Research BenchVals AI–53.4%
Show all 55 benchmarks
MetricPublisherGPT-5 ProMuse Wonder Full (max)
Agents & tools
SREBenchVals AI–11.8%
Tax Agent BenchVals AI–43.0%
Terminal-Bench 4.0 (Vals)Vals AI–58.1%
Terminal-Bench ScienceVals AI–37.1%
AutomationBenchArtificial Analysis–71.3%
GDP.pdf (AA)Artificial Analysis–32.6%
Harvey LAB-AA v1.1Harvey–13.1%
AA-Briefcase v1.1Artificial Analysis–1729
DeepSearchQAGoogle65.2%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub55.8%†–
FrontierMath Tier 4Epoch AI Benchmarking Hub19.5%†–
Knowledge
AA-OmniscienceArtificial Analysis–30.1
LegalBenchVals AI–87.4%
PRBench FinanceScale AI SEAL51.1%–
PRBench LegalScale AI SEAL49.9%–
MultiNRCScale AI SEAL65.2%–
BioMysteryBenchVals AI–73.3%
Excel Modeling BenchmarkVals AI–71.9%
MedCodeVals AI–49.9%
MedScribeVals AI–89.3%
Public Benefits BenchVals AI–73.8%
AA-Omniscience: accuracyArtificial Analysis–43.2%
AA-Omniscience: non-hallucinationArtificial Analysis–77.0%
Multimodal
VISTAScale AI SEAL52.4%–
Long context
AA-LCRArtificial Analysis–83.7%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub150.6–
AA Intelligence Index v4.3.2Artificial Analysis–55.8
Vals IndexVals AI–66.8
Safety & honesty
FORTRESSScale AI SEAL15.2%–
MASKScale AI SEAL86.0%–

Data as of 2026-10-21. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
  • Muse Wonder Full (max): BenchLeader Index 68.6 → 70.7.
  • Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
  • Muse Wonder Full (max): 21 new results (IOI, LegalBench, Vals Index…).
  • GPT-5 Pro: 1 new result (PRBench Legal).
  • Muse Wonder Full (max): 1 new result (Harvey LAB-AA v1.1).
  • Muse Wonder Full (max): first results.
  • GPT-5 Pro: BenchLeader Index 58.6 → 60.2.
  • GPT-5 Pro: 2 new results (PRBench Legal, MultiNRC).
  • GPT-5 Pro: BenchLeader Index 60.2 → 58.6.

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

GPT-5 Pro vs Muse Wonder Full: questions

Is GPT-5 Pro better than Muse Wonder Full?
Muse Wonder Full (max) leads on quality: 70.7 vs 59.8. The BenchLeader Index combines every independent quality benchmark; Muse Wonder Full (max) is ahead overall as of 2026-10-21, but check the category scores for your use.
Which is better for long documents?
Muse Wonder Full accepts more context: 1,000,000 against 400,000 tokens for GPT-5 Pro.
When was Muse Wonder Full released?
Muse Wonder Full was released on 12 Oct 2026.