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GPT-5 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 33.7.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 33.7, ranking #13 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-5
OpenAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
33.7
#111
52.1
#13
Reasoning
34.1
#101
38.4
#71
Coding
26.2
#77
41.5
#8
Agents
9.3
#141
38.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5
Muse Wonder Full
Vision
20.7#76
31.7#28
Multimodal
27.4#45
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

34 reported for GPT-5 · 16 for Muse Wonder Full

No common benchmarks found

GPT-5 and Muse Wonder Fulldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5 and Muse Wonder Full support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 14 months newer than GPT-5.

GPT-5

Aug 7, 2025

1.2 years ago

Muse Wonder Full

Oct 12, 2026

1 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Muse Wonder Full's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

GPT-5

Sep 2024

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5 and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-5
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-5 vs Muse Wonder Full.

Which is better, GPT-5 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 33.7. GPT-5 is made by OpenAI and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5 compare to Muse Wonder Full in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for GPT-5 and Muse Wonder Full?

GPT-5 supports 400K tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 and Muse Wonder Full?

Key differences include LLM Stats Score (33.7 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and Muse Wonder Full?

GPT-5 is developed by OpenAI and Muse Wonder Full is developed by Meta.

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