Model Comparison

Kimi K2.5 vs Muse Spark

Muse Spark significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Kimi K2.5 outperforms in 1 benchmarks (DeepSearchQA), while Muse Spark is better at 9 benchmarks (CharXiv-R, GPQA, Humanity's Last Exam, MMMU-Pro, SimpleVQA, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, ZEROBench).

Muse Spark significantly outperforms across most benchmarks.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Meta
Muse Spark
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Meta
Muse Spark
Input- tokens
Output- tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.5 and Muse Spark support multimodal inputs.

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

Kimi K2.5

Text
Images
Audio
Video

Muse Spark

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Muse Spark uses a proprietary license.

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

Kimi K2.5

MIT

Open weights

Muse Spark

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Muse Spark was released on 2026-04-08.

Muse Spark is 2 months newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

2 months ago

Muse Spark

Apr 8, 2026

1 days ago

2mo 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

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Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Has open weights
Higher DeepSearchQA score (77.1% vs 74.8%)
Meta
Higher CharXiv-R score (86.4% vs 77.5%)
Higher GPQA score (89.5% vs 87.6%)
Higher Humanity's Last Exam score (58.4% vs 50.2%)
Higher MMMU-Pro score (80.4% vs 78.5%)
Higher SimpleVQA score (71.3% vs 71.2%)
Higher SWE-Bench Pro score (52.4% vs 50.7%)
Higher SWE-Bench Verified score (77.4% vs 76.8%)
Higher Terminal-Bench 2.0 score (59.0% vs 50.8%)
Higher ZEROBench score (33.0% vs 11.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Meta
Muse Spark

FAQ

Common questions about Kimi K2.5 vs Muse Spark

Muse Spark significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and Muse Spark is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%.
Kimi K2.5 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.
Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and Muse Spark is developed by Meta.