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Mistral Large 3

MistralCurrentReleased Dec 2, 2025
Overall Score
Coming soon
Arena Elo
1415
Categories Ranked
8of 8
Price (1M tokens)
$2 in / $6 out
Speed
48tok/s
Context
128K
ProprietaryNon-Reasoning
Confidence
base

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Mistral Large 3
API / mo$6,000
Self-host / mo$9,110
Break-even95M/day
Model the full break-even

BenchLM is tracking Mistral Large 3, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Mistral Large 3 is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Its strongest category is Mathematics (#39), while its weakest is Knowledge (#61). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#58
41.6/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#56
41.2/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#51
53.2/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#61
44.3/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#39
65.3/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#53
59.6/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#41
67.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#53
65.7/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1415CI: ±3.740,077 votes
Coding1468CI: ±6.88,764 votes
Math1402CI: ±11.72,608 votes
Instruction Following1405CI: ±6.210,934 votes
Creative Writing1376CI: ±8.26,140 votes
Multi-turn1421CI: ±7.66,946 votes
Hard Prompts1432CI: ±4.821,819 votes
Hard Prompts (English)1441CI: ±6.410,596 votes
Longer Query1415CI: ±6.410,683 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Frequently Asked Questions

How does Mistral Large 3 perform overall in AI benchmarks?

BenchLM is tracking Mistral Large 3, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Does Mistral Large 3 have full benchmark coverage on BenchLM?

Not yet. Mistral Large 3 currently has 0 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Mistral Large 3?

Mistral Large 3 has a context window of 128K, which determines how much text it can process in a single interaction.

Last updated: April 21, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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