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MiMo-V2-Flash vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 30.3.

Xiaomi · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 30.3, ranking #12 overall.

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

Choose MiMo-V2-Flash

  • 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.

MiMo-V2-Flash
Xiaomi
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
30.3
#141
52.6
#12
Reasoning
30.5
#137
41.2
#62
Coding
17.3
#140
41.4
#9
Agents
7.9
#158
40.6
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2-Flash
Muse Wonder Full
Tool use
6.1#164
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for MiMo-V2-Flash · 16 for Muse Wonder Full

No common benchmarks found

MiMo-V2-Flash 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 MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 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 MiMo-V2-Flash does not.

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

MiMo-V2-Flash

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Flash 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.

MiMo-V2-Flash

MIT

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 10 months newer than MiMo-V2-Flash.

MiMo-V2-Flash

Dec 16, 2025

10 months ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

10mo 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 MiMo-V2-Flash and Muse Wonder Full side-by-side, then vote on the output you prefer.

MiMo-V2-Flash
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about MiMo-V2-Flash vs Muse Wonder Full.

Which is better, MiMo-V2-Flash or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 30.3. MiMo-V2-Flash is made by Xiaomi 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 MiMo-V2-Flash compare to Muse Wonder Full in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%. 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 MiMo-V2-Flash and Muse Wonder Full?

MiMo-V2-Flash supports 256K 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 MiMo-V2-Flash and Muse Wonder Full?

Key differences include LLM Stats Score (30.3 vs 52.6), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Flash and Muse Wonder Full?

MiMo-V2-Flash is developed by Xiaomi and Muse Wonder Full is developed by Meta.

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