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Kimi K2.7 Code vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.3 to 38.7.

Moonshot AI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.3 to 38.7, ranking #24 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

  • overall performance matters — it scores 49.3 and ranks #24 on LLM Stats
  • your work emphasizes coding and agents — 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 K2.7 Code
Moonshot AI
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
38.7
#79
49.3
#24
Reasoning
33.8
#112
37.8
#82
Coding
28.7
#70
38.4
#21
Agents
25.9
#66
37.2
#17
Cost, coverage & limits
Benchmark wins
1 of 2
1 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
Tool use
23.0#50
19.2#74
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

2 shared

Kimi K2.7 Code outperforms in 1 benchmarks (Program Bench), while Muse Wonder is better at 1 benchmark (DeepSWE 1.1).

Both models are evenly matched across the 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
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 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

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Kimi K2.7 Code

Modified MIT License

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Kimi K2.7 Code

Jun 12, 2026

4 months ago

Muse Wonder

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 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Muse Wonder leads the LLM Stats Score 49.3 to 38.7. Kimi K2.7 Code 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 K2.7 Code compare to Muse Wonder 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 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 Kimi K2.7 Code and Muse Wonder?

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

Key differences include LLM Stats Score (38.7 vs 49.3), 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?

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

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