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Mistral AI

Mistral Large 3

Released Dec 1, 2025 · knowledge cutoff unpublished

Status
Superseded
Location
France
Type
LLM
Modality
Text
Context window
262K
Max output
66K
Speed
—
Price ($/MTok in / out)
$0.50 / $1.50
Cost per task
$0.060
Open weights
Yes
Benchmarks1 of 10 reported

GPQA Diamond

67.2%

MMLU-Proretired

—

SWE-bench Verified

—

SWE-bench Pro

—

Terminal-Bench 2.1

—

AIME (latest)retired

—

Humanity's Last Exam

—

LMArena Elo

—

GDPval-AA v2

—

ARC-AGI-2

—
Strengths & weaknesses

Strengths

  • A fast, broad-coverage generalist tuned for throughput rather than depth
  • Good backbone for multilingual retrieval over long documents and messy PDFs
  • Apache-licensed, so it can be self-hosted anywhere without negotiation

Weaknesses

  • Pattern-matches rather than reasons — it doesn't improve if you let it think longer
  • Context feels short for the long-document work it is otherwise best at

Official pricing $0.50/$1.50; some trackers list hosted rates of $2/$6. GPQA Diamond 67.17 per Mistral's HF model card; not a dedicated reasoning model, so most 2026 reasoning benchmarks are unreported.

For developers

API model strings

  • mistralmistral-large-2512

Licence

Apache License 2.0 · Permissive · commercial use permitted

Retirement

No retirement announced

Lineage

No recorded predecessor

News