Model Comparison
Kimi K2.5 vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Kimi K2.5 is 1.7x cheaper per token.
Verdict: Kimi K2.5 vs Muse Spark 1.1 — which is better?
Kimi K2.5 (by Moonshot AI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K2.5 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, SWE-Bench Pro). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Kimi K2.5 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.5 if…
- cost matters — it's about 1.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, SWE-Bench Pro).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.5 ($0.60/1M tokens) is 2.1x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Kimi K2.5 ($3.00/1M tokens) is 1.4x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Kimi K2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Kimi K2.5's 262,100 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K2.5 and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
Muse Spark 1.1
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Muse Spark 1.1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 5 months newer than Kimi K2.5.
Jan 27, 2026
5 months ago
Jul 9, 2026
2 weeks ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.5 is available from Fireworks, Moonshot AI. Muse Spark 1.1 is available from Meta Model API.
Kimi K2.5
Muse Spark 1.1
Outputs Comparison
Key Takeaways
Kimi K2.5
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.5 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.5 vs Muse Spark 1.1.