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GPT-5.1 Codex High vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.2 to 29.3.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 29.3, ranking #25 overall.

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

Choose GPT-5.1 Codex High

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

Choose Muse Wonder

  • overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-5.1 Codex High
OpenAI
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
29.3
#152
49.2
#25
Reasoning
29.1
#144
37.7
#81
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Individual benchmarks

1 reported for GPT-5.1 Codex High · 16 for Muse Wonder

No common benchmarks found

GPT-5.1 Codex High and Muse Wonderdon'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-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex High
Input400,000 tokens
Output128,000 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.1 Codex High and Muse Wonder support multimodal inputs.

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

GPT-5.1 Codex High

Text
Images
Audio
Video

Muse Wonder

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-5.1 Codex High

Proprietary

Closed source

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.1 Codex High was released on 2025-11-12, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 11 months newer than GPT-5.1 Codex High.

GPT-5.1 Codex High

Nov 12, 2025

11 months ago

Muse Wonder

Oct 12, 2026

1 weeks ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.1 Codex High and Muse Wonder side-by-side, then vote on the output you prefer.

GPT-5.1 Codex High
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GPT-5.1 Codex High vs Muse Wonder.

Which is better, GPT-5.1 Codex High or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.2 to 29.3. GPT-5.1 Codex High is made by OpenAI and Muse Wonder 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-5.1 Codex High compare to Muse Wonder in benchmarks?

GPT-5.1 Codex High scores AIME 2025: 96.7%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

What are the context window sizes for GPT-5.1 Codex High and Muse Wonder?

GPT-5.1 Codex High supports 400K tokens and Muse Wonder 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-5.1 Codex High and Muse Wonder?

Key differences include LLM Stats Score (29.3 vs 49.2). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex High and Muse Wonder?

GPT-5.1 Codex High is developed by OpenAI and Muse Wonder is developed by Meta.

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