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GPT-5 Codex vs Muse Wonder

Muse Wonder leads the LLM Stats Score 47.9 to 26.6.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 47.9 to 26.6, ranking #29 overall.

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

Choose GPT-5 Codex

  • you are already invested in the OpenAI ecosystem

Choose Muse Wonder

  • overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
  • your work emphasizes 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.

Core performance indexes
26.6
#165
47.9
#29
26.4
#163
33.1
#108
19.1
#119
38.9
#18
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$4.00 / M
Output price
— / M
$20.00 / M
Context window
—
1,048,576

Individual benchmarks

1 reported for GPT-5 Codex · 16 for Muse Wonder

No common benchmarks found

GPT-5 Codex 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 Muse Wonder specifies input context (1,048,576 tokens).

OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas GPT-5 Codex does not.

Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 Codex

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 Codex

Proprietary

Closed source

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 Codex was released on 2025-09-15, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 13 months newer than GPT-5 Codex.

GPT-5 Codex

Sep 15, 2025

1.1 years ago

Muse Wonder

Oct 12, 2026

4 days ago

1.1yr newer

Knowledge Cutoff

When training data ends

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

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

GPT-5 Codex

Sep 2024

Muse Wonder

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

GPT-5 Codex
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GPT-5 Codex vs Muse Wonder.

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

Muse Wonder leads the LLM Stats Score 47.9 to 26.6. GPT-5 Codex 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 Codex compare to Muse Wonder in benchmarks?

GPT-5 Codex scores SWE-Bench Verified: 74.5%. 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 Codex and Muse Wonder?

GPT-5 Codex supports an unknown number of tokens and Muse Wonder supports 1.0M 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 Codex and Muse Wonder?

Key differences include LLM Stats Score (26.6 vs 47.9), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 Codex and Muse Wonder?

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