Kimi K2 0905 vs Mistral Large 3
Kimi K2 0905 leads the LLM Stats Score 21.6 to 10.4. Kimi K2 0905 is 2.6x cheaper per token.
Moonshot AI · Mistral AI · Updated for 2026
Which is better?
Kimi K2 0905 leads the overall LLM Stats Score 21.6 to 10.4, ranking #201 overall.
In the 1 individual benchmarks reported for both models, Mistral Large 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2 0905 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2 0905
- overall performance matters — it scores 21.6 and ranks #201 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 2.6x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
Choose Mistral Large 3
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Kimi K2 0905 · 8 for Mistral Large 3
Kimi K2 0905 outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).
Mistral Large 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2 0905 ($0.60/1M tokens) is 3.3x cheaper than Mistral Large 3 ($2.00/1M tokens).
For output processing, Kimi K2 0905 ($2.50/1M tokens) is 2.0x cheaper than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Mistral Large 3 is more expensive than Kimi K2 0905.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 0905 has 325.0B more parameters than Mistral Large 3, making it 48.1% larger.
Context Window
Maximum input and output token capacity
Kimi K2 0905 accepts 262,144 input tokens compared to Mistral Large 3's 128,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Large 3 supports multimodal inputs, whereas Kimi K2 0905 does not.
Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2 0905
Mistral Large 3
License
Usage and distribution terms
Kimi K2 0905 is licensed under a proprietary license, while Mistral Large 3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Kimi K2 0905 was released on 2025-09-05, while Mistral Large 3 was released on 2025-09-01.
Kimi K2 0905 is 0 month newer than Mistral Large 3.
Sep 5, 2025
1.1 years ago
4d newerSep 1, 2025
1.1 years ago
Knowledge 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 0905 is available from Novita. Mistral Large 3 is available from Mistral AI.
Kimi K2 0905
Mistral Large 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2 0905 and Mistral Large 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2 0905 vs Mistral Large 3.