#77Mistral· released 2026-04-30

Mistral: Mistral Medium 3.5.

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

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Context
262K
Input $/1M
$1.50
Output $/1M
$7.50
Modality
text · image · file
Arena Elo
1451
LMArena — human blind votes
AA Index
56.0
Artificial Analysis composite
LiveBench
72.3
Contamination-resistant
GPQA
80.1%
Grad-level science reasoning
MMLU-Pro
82.5%
Broad knowledge
SWE-bench
63.7%
Real GitHub bugs (Verified)
Terminal-Bench
43.4%
Agentic shell tasks
ARC-AGI
13.8%
Abstract reasoning
Aider Polyglot
74.8%
Multi-language code editing
Speed
86 tok/s
Median output speed

Profile

Mistral: Mistral Medium 3.5 is Mistral's entry at position #77 on the current aggregated leaderboard. Its strongest signals are graduate-level science reasoning, real-world software engineering, 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