Kimi K3.1 Pro vs Mistral Large 4
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 46.8. Mistral Large 4 is 3.8x 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 46.8, ranking #5 overall.
In the 4 individual benchmarks reported for both models, Kimi K3.1 Pro wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 3.8x 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 agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- 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 4
- cost matters — it's about 3.8x 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 · 20 for Mistral Large 4
Kimi K3.1 Pro outperforms in 4 benchmarks (BrowseComp, GDP.pdf, Harvey's Legal Agent Benchmark, Terminal-Bench 4.0), while Mistral Large 4 is better at 0 benchmarks.
Kimi K3.1 Pro 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 K3.1 Pro ($2.00/1M tokens) is 2.9x more expensive than Mistral Large 4 ($0.70/1M tokens).
For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 4.8x more expensive than Mistral Large 4 ($2.10/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Mistral Large 4.*
* 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 4's 1,000,000 tokens. Only Kimi K3.1 Pro specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both Kimi K3.1 Pro and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3.1 Pro
Mistral Large 4
Release Timeline
When each model was launched
Kimi K3.1 Pro was released on 2026-10-23, while Mistral Large 4 was released on 2026-10-06.
Kimi K3.1 Pro is 1 month newer than Mistral Large 4.
Oct 23, 2026
3 days ago
2w newerOct 6, 2026
2 weeks 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 4 is available from Mistral AI.
Kimi K3.1 Pro
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3.1 Pro and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3.1 Pro vs Mistral Large 4.