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Kimi K2.7 Code vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 38.7.

Moonshot AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 38.7, ranking #12 overall.

In the 2 individual benchmarks reported for both models, Muse Wonder Full wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose Kimi K2.7 Code

  • 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 coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
38.7
#79
52.6
#12
Reasoning
33.8
#112
41.2
#62
Coding
28.7
#70
41.4
#9
Agents
25.9
#66
40.6
#6
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.68 / M
— / M
Output price
$3.40 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
Muse Wonder Full
Tool use
23.0#50
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 16 for Muse Wonder Full

2 shared

Kimi K2.7 Code outperforms in 0 benchmarks, while Muse Wonder Full is better at 2 benchmarks (DeepSWE 1.1, Program Bench).

Muse Wonder Full significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (262,144 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.7 Code and Muse Wonder Full support multimodal inputs.

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

Kimi K2.7 Code

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Muse Wonder Full uses a proprietary license.

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

Kimi K2.7 Code

Modified MIT License

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 4 months newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

4 months ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

4mo 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 K2.7 Code and Muse Wonder Full side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Muse Wonder Full.

Which is better, Kimi K2.7 Code or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 38.7. Kimi K2.7 Code is made by Moonshot AI 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 Kimi K2.7 Code compare to Muse Wonder Full in benchmarks?

Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%. 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 Kimi K2.7 Code and Muse Wonder Full?

Kimi K2.7 Code supports 262K 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 Kimi K2.7 Code and Muse Wonder Full?

Key differences include LLM Stats Score (38.7 vs 52.6), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Muse Wonder Full?

Kimi K2.7 Code is developed by Moonshot AI and Muse Wonder Full is developed by Meta.

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