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MiniMax M2.1 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 31.3.

MiniMax · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 31.3, ranking #12 overall.

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

Choose MiniMax M2.1

  • you need open weights you can self-host or fine-tune

Choose Muse Wonder Full

  • overall performance matters — it scores 52.6 and ranks #12 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.

MiniMax M2.1
MiniMax
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
31.3
#133
52.6
#12
Reasoning
31.7
#127
41.2
#62
Coding
21.6
#102
41.4
#9
Agents
17.6
#93
40.6
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M2.1
Muse Wonder Full
Tool use
13.0#117
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for MiniMax M2.1 · 16 for Muse Wonder Full

No common benchmarks found

MiniMax M2.1 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 MiniMax M2.1 specifies input context (1,000,000 tokens). Only MiniMax M2.1 specifies output context (1,000,000 tokens).

MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas MiniMax M2.1 does not.

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

MiniMax M2.1

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2.1 is licensed under MIT, while Muse Wonder Full uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

MiniMax M2.1

MIT

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M2.1 was released on 2025-12-23, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 10 months newer than MiniMax M2.1.

MiniMax M2.1

Dec 23, 2025

10 months ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

9mo 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 MiniMax M2.1 and Muse Wonder Full side-by-side, then vote on the output you prefer.

MiniMax M2.1
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about MiniMax M2.1 vs Muse Wonder Full.

Which is better, MiniMax M2.1 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 31.3. MiniMax M2.1 is made by MiniMax 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 MiniMax M2.1 compare to Muse Wonder Full in benchmarks?

MiniMax M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%. 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 MiniMax M2.1 and Muse Wonder Full?

MiniMax M2.1 supports 1.0M 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 MiniMax M2.1 and Muse Wonder Full?

Key differences include LLM Stats Score (31.3 vs 52.6), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.1 and Muse Wonder Full?

MiniMax M2.1 is developed by MiniMax and Muse Wonder Full is developed by Meta.

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