Kimi K3.1 Pro vs Mistral Large 2
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 6.9. Mistral Large 2 is 1.3x cheaper per token.
Moonshot AI · Mistral AI · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 6.9, ranking #5 overall.
On price, Mistral Large 2 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3.1 Pro also accepts a larger context window (1,048,576 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 K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mistral Large 2
- cost matters — it's about 1.3x cheaper per token
- 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
30 reported for Kimi K3.1 Pro · 5 for Mistral Large 2
Kimi K3.1 Pro and Mistral Large 2don'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
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3.1 Pro ($2.00/1M tokens) costs the same as Mistral Large 2 ($2.00/1M tokens).
For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 1.7x more expensive than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Mistral Large 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Mistral Large 2's 128,000 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K3.1 Pro supports multimodal inputs, whereas Mistral Large 2 does not.
Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K3.1 Pro
Mistral Large 2
Release Timeline
When each model was launched
Kimi K3.1 Pro was released on 2026-10-23, while Mistral Large 2 was released on 2024-07-24.
Kimi K3.1 Pro is 27 months newer than Mistral Large 2.
Oct 23, 2026
4 days ago
2.2yr newerJul 24, 2024
2.3 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 K3.1 Pro is available from Moonshot AI. Mistral Large 2 is available from Google, Mistral AI.
Kimi K3.1 Pro
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3.1 Pro and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3.1 Pro vs Mistral Large 2.