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Kimi K2.7 Code vs Muse Glimmer-30B

Kimi K2.7 Code leads the LLM Stats Score 39.6 to 35.5.

Moonshot AI · Meta · Updated for 2026

Which is better?

Kimi K2.7 Code leads the overall LLM Stats Score 39.6 to 35.5, ranking #49 overall.

In the 1 individual benchmarks reported for both models, Kimi K2.7 Code wins 1; 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

  • overall performance matters — it scores 39.6 and ranks #49 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Muse Glimmer-30B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Muse Glimmer-30B
Meta
Core performance indexes
LLM Stats Score
39.6
#49
35.5
#76
Reasoning
35.2
#74
34.7
#77
Coding
32.2
#42
23.8
#65
Agents
28.0
#37
18.5
#62
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.74 / M
— / M
Output price
$3.50 / 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 Glimmer-30B
Tool use
25.6#26
18.6#59
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 25 for Muse Glimmer-30B

1 shared

Kimi K2.7 Code outperforms in 1 benchmarks (MCP Atlas), while Muse Glimmer-30B is better at 0 benchmarks.

Kimi K2.7 Code significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

970.4B diff

Kimi K2.7 Code has 970.4B more parameters than Muse Glimmer-30B, making it 3278.4% larger.

Moonshot AI
Kimi K2.7 Code
1.0Tparameters
Meta
Muse Glimmer-30B
29.6Bparameters
1000.0B
Kimi K2.7 Code
29.6B
Muse Glimmer-30B

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 (131,072 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Meta
Muse Glimmer-30B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.7 Code and Muse Glimmer-30B 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 Glimmer-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Muse Glimmer-30B uses Apache 2.0.

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 Glimmer-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Muse Glimmer-30B was released on 2026-08-10.

Muse Glimmer-30B is 2 months newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

2 months ago

Muse Glimmer-30B

Aug 10, 2026

2 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Kimi K2.7 Code's cutoff date is not specified.

We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without Kimi K2.7 Code's cutoff date.

Kimi K2.7 Code

—

Muse Glimmer-30B

Jan 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and Muse Glimmer-30B side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Muse Glimmer-30B.

Which is better, Kimi K2.7 Code or Muse Glimmer-30B?

Kimi K2.7 Code leads the LLM Stats Score 39.6 to 35.5. Kimi K2.7 Code is made by Moonshot AI and Muse Glimmer-30B 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 Glimmer-30B 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 Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%.

What are the context window sizes for Kimi K2.7 Code and Muse Glimmer-30B?

Kimi K2.7 Code supports 262K tokens and Muse Glimmer-30B 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 Glimmer-30B?

Key differences include LLM Stats Score (39.6 vs 35.5), licensing (Modified MIT License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Muse Glimmer-30B?

Kimi K2.7 Code is developed by Moonshot AI and Muse Glimmer-30B is developed by Meta.

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