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Mistral Large 3

MistralMistralOpen WeightApache 2.0 · Commercial OK

Description

Mistral Large 3 (675B Instruct 2512 Eagle) is a state-of-the-art general-purpose Multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters trained from scratch with 3000 H200s. This model is the base pre-trained version, not fine-tuned for instruction or reasoning tasks, making it ideal for custom post-training processes. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows. This model is the Eagle speculator for Mistral Large 3 Instruct. Depending on the task, you can expect noticeable speed-ups on your generations.

Release Date
2025-12-02
Parameters
675.0B
Context Length
262K
Modalities
image, text

Capability Radar

34
general
31
coding
43
reasoning
44
science
39
agents
85
multimodal

Rankings

Domain#RankScoreSource
Code Ranking312
34.0
AA
General Ranking312
39.0
AA
Science286
45.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)43.9%SR

Code

LiveCodeBench34.4%SR

Communication

MM-MT-Bench84.90 / 100SR
Wild Bench68.5%SR

Creativity

Arena Hard55.1%SR

Factuality

SimpleQA23.8%SR

General

MMMLU85.5%SR
MMLU-Redux82.0%SR
TriviaQA74.9%SR

Math

MATH90.4%SR
MATH (CoT)67.6%SR
AMC_2022_2352.0%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
38.0
Coding Index(Artificial Analysis)
20.1
Intelligence Index(Artificial Analysis)
15.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Aime 25(MAA (Mathematical Association of America))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Ifbench(Google Research (2023))
0.4
Lcr(Artificial Analysis)
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Terminalbench V2 1
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Language
90
Math
70
Reasoning
50
General
50
Physics
40
Biology
40
Chemistry
40
Code
30
Factuality
20

Pricing

Input Price$0.5 / 1M tokens
Output Price$1.5 / 1M tokens
Blended Price (3:1)$0.75 / 1M tokens

Speed

Tokens/sec56.0
Time to First Token0.98s
Time to Answer0.98s

Provider Price Ranking

Provider Price Ranking

7 providers

Cheapest: MistralMost Expensive: 302.AI
ProviderInputOutput
1MistralPRIMARY
$0.5
$1.5
2OpenRouter
$0.5
$1.5
3Kilo Gateway
$0.5
$1.5
4LLM Gateway
$0.5
$1.5
5Pioneer
$0.5
$1.5
6Cortecs
$0.557
$1.671
7302.AI
$1.1
$3.3

Compare pricing across different API providers for this model.

External Sources