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GPT-5 mini vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.2 to 27.1.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 27.1, ranking #25 overall.

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

Choose GPT-5 mini

  • you want predictable pricing at $0.25/M input and $2.00/M output

Choose Muse Wonder

  • overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
  • your work emphasizes reasoning — 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
27.1
#167
49.2
#25
26.4
#168
37.7
#81
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
— / M
Output price
$2.00 / M
— / M
Context window
400,000
—

Individual benchmarks

5 reported for GPT-5 mini · 16 for Muse Wonder

No common benchmarks found

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

OpenAI
GPT-5 mini
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 mini and Muse Wonder support multimodal inputs.

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

GPT-5 mini

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 mini

Proprietary

Closed source

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GPT-5 mini

Aug 7, 2025

1.2 years ago

Muse Wonder

Oct 12, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Muse Wonder's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Muse Wonder's cutoff date.

GPT-5 mini

May 2024

Muse Wonder

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

GPT-5 mini
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GPT-5 mini vs Muse Wonder.

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

Muse Wonder leads the LLM Stats Score 49.2 to 27.1. GPT-5 mini 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 mini compare to Muse Wonder in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. 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 mini and Muse Wonder?

GPT-5 mini 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 mini and Muse Wonder?

Key differences include LLM Stats Score (27.1 vs 49.2). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 mini and Muse Wonder?

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