Mistral Large 4 vs Mistral Small 4
Mistral Large 4 leads the LLM Stats Score 46.2 to 18.9. Mistral Small 4 is 3.9x cheaper per token.
Mistral AI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 18.9, ranking #34 overall.
On price, Mistral Small 4 is roughly 3.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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 Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mistral Small 4
- cost matters — it's about 3.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Mistral Large 4 · 9 for Mistral Small 4
Mistral Large 4 and Mistral Small 4don'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, Mistral Large 4 ($0.68/1M tokens) is 4.5x more expensive than Mistral Small 4 ($0.15/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 3.5x more expensive than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Mistral Small 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 931.0B more parameters than Mistral Small 4, making it 782.4% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Mistral Small 4's 256,000 tokens. Only Mistral Small 4 specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Mistral Small 4
License
Usage and distribution terms
Mistral Large 4 is licensed under a proprietary license, while Mistral Small 4 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
Mistral Large 4 was released on 2026-10-06, while Mistral Small 4 was released on 2026-03-16.
Mistral Large 4 is 7 months newer than Mistral Small 4.
Oct 6, 2026
2 days ago
6mo newerMar 16, 2026
6 months 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
Mistral Large 4 is available from Mistral AI. Mistral Small 4 is available from Mistral AI.
Mistral Large 4
Mistral Small 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Mistral Small 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Mistral Small 4.