#07Mistral· released 2026-10-06

Mistral: Mistral Large 4.

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 512K-token context window with up...

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Context
524K
Input $/1M
$0.68
Output $/1M
$2.09
Modality
text · image
Arena Elo
1608
LMArena — human blind votes
AA Index
71.0
Artificial Analysis composite
LiveBench
80.9
Contamination-resistant
GPQA
86.9%
Grad-level science reasoning
MMLU-Pro
87.1%
Broad knowledge
SWE-bench
73.2%
Real GitHub bugs (Verified)
Terminal-Bench
61.8%
Agentic shell tasks
ARC-AGI
28.7%
Abstract reasoning
Aider Polyglot
81.6%
Multi-language code editing
Speed
64 tok/s
Median output speed

Profile

Mistral: Mistral Large 4 is Mistral's entry at position #7 on the current aggregated leaderboard. Its strongest signals are human preference voting, graduate-level science reasoning, real-world software engineering, and unattended agentic work. Every figure below is aggregated from the public sources listed on the homepage and refreshed on each pipeline run.

The score spread is comparatively complete for this model, but the standing advice still applies: treat gaps of a few points as ties and validate on your own workload before committing.

How this model's position is computed is documented in the methodology; what each benchmark actually measures is in the benchmark guide. See a figure that disagrees with its source? Report it — accepted corrections apply on the next refresh.

Nearby on the leaderboard