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Kimi K2 Base vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 12.7.

Moonshot AI · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 12.7, ranking #47 overall.

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

Choose Kimi K2 Base

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

Choose Muse Ember

  • overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
12.7
#291
45.9
#47
11.8
#290
48.1
#24
10.5
#201
27.3
#85
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,048,576

Individual benchmarks

13 reported for Kimi K2 Base · 6 for Muse Ember

No common benchmarks found

Kimi K2 Base and Muse Emberdon'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

Context Window

Maximum input and output token capacity

Only Muse Ember specifies input context (1,048,576 tokens). Only Muse Ember specifies output context (524,288 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Fri Nov 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Ember supports multimodal inputs, whereas Kimi K2 Base does not.

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

Kimi K2 Base

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Muse Ember uses a proprietary license.

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

Kimi K2 Base

MIT

Open weights

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Muse Ember was released on 2026-11-09.

Muse Ember is 16 months newer than Kimi K2 Base.

Kimi K2 Base

Jul 11, 2025

1.3 years ago

Muse Ember

Nov 9, 2026

3 days ago

1.3yr 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 Base and Muse Ember side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Muse Ember.

Which is better, Kimi K2 Base or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to 12.7. Kimi K2 Base is made by Moonshot AI and Muse Ember 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 Base compare to Muse Ember in benchmarks?

Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%.

What are the context window sizes for Kimi K2 Base and Muse Ember?

Kimi K2 Base supports an unknown number of tokens and Muse Ember supports 1.0M 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 Base and Muse Ember?

Key differences include LLM Stats Score (12.7 vs 45.9), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Muse Ember?

Kimi K2 Base is developed by Moonshot AI and Muse Ember is developed by Meta.