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Kimi K2-Instruct-0905 vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.2 to 21.3.

Moonshot AI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 21.3, ranking #25 overall.

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

Choose Kimi K2-Instruct-0905

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

Choose Muse Wonder

  • overall performance matters — it scores 49.2 and ranks #25 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.

Kimi K2-Instruct-0905
Moonshot AI
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
21.3
#210
49.2
#25
Reasoning
21.6
#199
37.7
#81
Coding
9.5
#191
38.2
#21
Agents
-4.2
#205
37.2
#17
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2-Instruct-0905
Muse Wonder
Tool use
6.3#162
19.1#75
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for Kimi K2-Instruct-0905 · 16 for Muse Wonder

No common benchmarks found

Kimi K2-Instruct-0905 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

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

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

Kimi K2-Instruct-0905

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Instruct-0905 is licensed under MIT, while Muse Wonder uses a proprietary license.

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

Kimi K2-Instruct-0905

MIT

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2-Instruct-0905 was released on 2025-09-05, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 13 months newer than Kimi K2-Instruct-0905.

Kimi K2-Instruct-0905

Sep 5, 2025

1.1 years ago

Muse Wonder

Oct 12, 2026

1 weeks ago

1.1yr 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 Kimi K2-Instruct-0905 and Muse Wonder side-by-side, then vote on the output you prefer.

Kimi K2-Instruct-0905
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about Kimi K2-Instruct-0905 vs Muse Wonder.

Which is better, Kimi K2-Instruct-0905 or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.2 to 21.3. Kimi K2-Instruct-0905 is made by Moonshot AI 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 Kimi K2-Instruct-0905 compare to Muse Wonder in benchmarks?

Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%. 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 main differences between Kimi K2-Instruct-0905 and Muse Wonder?

Key differences include LLM Stats Score (21.3 vs 49.2), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2-Instruct-0905 and Muse Wonder?

Kimi K2-Instruct-0905 is developed by Moonshot AI and Muse Wonder is developed by Meta.

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