Mistral Large 4
Mistral Large 4Alternatives?
CheaperGemini 3.8 Flashhighwins 60%-27%*$3.49Sampling parameters are ignored+1
BetterGPT-5.6 Terraxhighwins 55%+118%$0.63Prompts with >272K input tokens
OpenMiMo v2.6 Prounstatedwins 60%-74%$0.43 / $0.87No PDF input+4
CheaperGLM 5.3 FlashunstatedOpenwins 58%-88%$0.15 / $0.50Defaults to max · Self-hosted+4CheaperMiMo v2.5 ProunstatedOpenwins 57%-74%$0.43 / $0.87No image input+1Gemini 3.8 Flashhighwins 60%-27%*$3.49Sampling parameters are ignored+1MiMo v2.6 ProunstatedOpenwins 60%-74%$0.43 / $0.87No PDF input+4GLM 5.3 FlashunstatedOpenwins 58%-88%$0.15 / $0.50Defaults to max · Self-hosted+4MiMo v2.5 ProunstatedOpenwins 57%-74%$0.43 / $0.87No image input+1Gemini 3.6 Flashhighwins 56%-27%*$1.60GPT-5.6 Terraxhighwins 55%+118%$0.63Prompts with >272K input tokensGPT-6.1 Solmaxwins 56%+94%$0.72Remove unsupported parameters+5GPT-5.6 Solxhighwins 58%+287%$1.18GLM 5.2maxOpenwins 56%+4%$1.28No image input+1
Muse Spark 1.2xhighwins 56%-3%$1.29Only auto tool_choice is supported+1MiMo v2.6 ProunstatedOpenwins 60%-74%$0.43 / $0.87No PDF input+4
Kimi K3maxOpenwins 59%+191%$2.00Sampling parameters are fixed+3GLM 5.3maxOpenwins 58%+4%$2.01No image input+5GLM 5.3 FlashunstatedOpenwins 58%-88%$0.15 / $0.50Defaults to max · Self-hosted+4MiMo v2.5 ProunstatedOpenwins 57%-74%$0.43 / $0.87No image input+1Mistral Medium 3.5unstatedOpensame—$1.50 / $7.50Context: 1M → 262KMistral Large 3unstatedOpenwins 47%—$0.50 / $1.50Context: 1M → 262KMistral Small 3.1 24BunstatedOpenwins 28%—$0.35 / $0.56Context: 1M → 128K+1Mistral Largeunstatedwins 27%—$2 / $6Context: 1M → 128K+1Mistral Small 3unstatedOpenwins 23%—$0.05 / $0.08Context: 1M → 32K+2Mixtral 8x22B InstructunstatedOpenwins 17%—$2 / $6Context: 1M → 66K+1Mixtral 8x7B Instruct v0.1Openwins 14%—$0.54 / $0.54Context: 1M → 33K+1Mistral 7B Instruct v0.2Openwins 11%—$0.055 / $0.055Context: 1M → 33K+2All Mistral models →History
4 versionsBenchmarks
in Chat & KnowledgeWatch out 5
Infinite whitespace stream›
In JSON Object mode, include JSON in the system or user prompt to avoid a possible infinite whitespace stream. Source ↗
Content is a list of chunks›
With reasoning_effort high, message.content is a chunk list rather than a plain string; parse thinking and text chunks. Source ↗
Only function calling · Mistral regional endpoints›
Regional endpoints support function calling only and omit Agents, Batch and Files; check regional model availability before routing requests. Source ↗
10% upcharge · Mistral regional endpoints›
Regional inference charges 1.1× standard list prices for input, output, cached reads and cache writes. Source ↗
Reinforcement learning run still in flight›
The public preview reinforcement learning run is still in flight, and Mistral expects further rapid changes as training scales. Source ↗
FAQ
How much does Mistral Large 4 cost?›
$1.36 per 1M input tokens and $4.18 per 1M output tokens; cached input $0.14 per 1M; cheapest via mistralai at $0.68 / $2.09. A typical benchmark task costs about $1.61 at default effort.
Is Mistral Large 4 free to use?›
There is no free API; the cheapest paid price is $0.68 per 1M input tokens.
How good is Mistral Large 4, and what is it best at?›
#64 of 336 in Chat & Knowledge, #25 of 134 in Coding, #21 of 135 in Agents & Tool Use, #89 of 197 in Writing & Language, #40 of 125 in Vision & Documents. Strongest at: Coding, Agents & work tasks, Reasoning, Long context.
Is Mistral Large 4 better than Mistral Large 3?›
On Arena Text · instruction following, Mistral Large 4 scores 1,423.7 vs 1,404 — higher.
How can I use Mistral Large 4?›
Through the API of Mistral.
What is the context window of Mistral Large 4?›
1M tokens, with up to 262K output tokens.
When was Mistral Large 4 released? Is there a newer version?›
Released 2026-10-06. It is the current version in its line.
Is Mistral Large 4 open source?›
No, Mistral Large 4 is a closed model available through an API. The closest open-weights option here is MiMo v2.6 Pro.
Can Mistral Large 4 read images?›
It accepts text and images, PDF files as input.
What is Mistral Large 4?›
Mistral Large 4 is a closed language model from Mistral, released Oct 2026, the successor to Mistral Large 3.
What are the best alternatives to Mistral Large 4?›
Gemini 3.8 Flash (cheaper), GPT-5.6 Terra (better), MiMo v2.6 Pro (open weights).