Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Mistral Large

text+file->text

Mistral's frontier model. Strong multilingual performance and Europe-friendly hosting options.

Mistral Large is a frontier AI model from Mistral. It costs $2.000 per million input tokens and $6.000 per million output tokens (blended $3.200/M), with a 128K-token context window.

Profile inherited from upstream Mistral Large 2 ↗ — this is a hosted variant of the same open-weights model.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$2.000/M
per million input tokens
OUTPUT
$6.000/M
per million output tokens
BLENDED 70/30
$3.200/M
default reference rate · how it's calculated →
CONTEXT
128K
128,000 tokens
What it's good at
  • Multilingual
  • EU sovereign hosting
  • Strong code
  • 128K context
Typical use cases
  • EU data residency
  • Multilingual production chat
Benchmarks
vs. best public score
Scores inherited from Mistral Large 2 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU84%
Multitask academic knowledge across 57 subjects.
GPQA Diamond52%
Graduate-level science questions, "Google-proof".
MATH73%
High-school competition math problems.
HumanEval92%
Python function synthesis from docstrings.
LMArena Elo1283 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
More from Mistral
See all 15 →
Mistral Large 3
Frontier · 256K ctx
in $0.500/Mout $1.500/M
Mistral Medium 3.5
Balanced · 256K ctx
in $1.500/Mout $7.500/M
Mistral Small 4
Efficient · 128K ctx
in $0.100/Mout $0.300/M
Mistral Large 2
Frontier · 128K ctx
in $2.000/Mout $6.000/M
Pixtral Large
Vision · 128K ctx
in $2.000/Mout $6.000/M
Pixtral 12B
Compact Vision · 128K ctx
in $0.150/Mout $0.150/M
Frequently asked questions

How much does Mistral Large cost?

Mistral Large costs $2.000 per million input tokens and $6.000 per million output tokens, for a blended reference rate of $3.200 per million tokens.

What is Mistral Large's context window?

Mistral Large supports up to 128K tokens of context (128,000 tokens).

What is Mistral Large best for?

Mistral Large is well suited to Multilingual, EU sovereign hosting and Strong code.

Who makes Mistral Large?

Mistral Large is developed and served by Mistral.