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Kimi K2.6 vs Muse Spark

Kimi K2.6 and Muse Spark are closely matched at 43.7 and 41.7 on the LLM Stats Score.

Moonshot AI · Meta · Updated for 2026

Which is better?

Kimi K2.6 and Muse Spark are closely matched on the overall LLM Stats Score at 43.7 and 41.7.

In the 8 individual benchmarks reported for both models, Kimi K2.6 wins 6; 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 K2.6

  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 8 exact shared results
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Choose Muse Spark

  • you are already invested in the Meta ecosystem

At a glance

The differences that matter most.

Core performance indexes
43.7
#41
41.7
#53
43.9
#38
40.6
#53
33.6
#36
23.1
#79
26.8
#49
14.3
#93
Cost, coverage & limits
Benchmark wins
6 of 8
2 of 8
Input price
$0.75 / M
— / M
Output price
$3.50 / M
— / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K2.6
Muse Spark
28.9#33
31.2#26
21.3#49
16.2#82
31.9#22
32.4#21
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Kimi K2.6 · 19 for Muse Spark

8 shared

Kimi K2.6 outperforms in 6 benchmarks (CharXiv-R, DeepSearchQA, GPQA, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while Muse Spark is better at 2 benchmarks (Humanity's Last Exam, MMMU-Pro).

Kimi K2.6 shows notably better performance in the majority of benchmarks.

Tue Sep 22 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 K2.6 specifies input context (262,144 tokens). Only Kimi K2.6 specifies output context (131,072 tokens).

Moonshot AI
Kimi K2.6
Input262,144 tokens
Output131,072 tokens
Meta
Muse Spark
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.6 and Muse Spark support multimodal inputs.

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

Kimi K2.6

Text
Images
Audio
Video

Muse Spark

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.6 is licensed under Modified MIT License, while Muse Spark uses a proprietary license.

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

Kimi K2.6

Modified MIT License

Open weights

Muse Spark

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.6 was released on 2026-04-20, while Muse Spark was released on 2026-04-08.

Kimi K2.6 is 0 month newer than Muse Spark.

Kimi K2.6

Apr 20, 2026

5 months ago

1w newer
Muse Spark

Apr 8, 2026

5 months ago

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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2.6 and Muse Spark side-by-side, then vote on the output you prefer.

Kimi K2.6
✓ Preferred
Muse Spark
Open in Playground

FAQ

Common questions about Kimi K2.6 vs Muse Spark.

Which is better, Kimi K2.6 or Muse Spark?

Kimi K2.6 and Muse Spark are closely matched on the LLM Stats Score at 43.7 and 41.7. Kimi K2.6 is made by Moonshot AI and Muse Spark 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 K2.6 compare to Muse Spark in benchmarks?

Kimi K2.6 scores V*: 96.9%, AIME 2026: 96.4%, MathVision: 93.2%, HMMT Feb 26: 92.7%, GPQA: 90.5%. Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%.

What are the context window sizes for Kimi K2.6 and Muse Spark?

Kimi K2.6 supports 262K tokens and Muse Spark 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 K2.6 and Muse Spark?

Key differences include LLM Stats Score (43.7 vs 41.7), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.6 and Muse Spark?

Kimi K2.6 is developed by Moonshot AI and Muse Spark is developed by Meta.