Frontier-class multimodal model optimized for agentic and coding use cases; headline model on the pricing page at $1.5/$7.5 per M tokens, 256k context, open weights under Modified MIT. Primary source: docs.mistral.ai model card (https://docs.mistral.ai/models/model-cards/mistral-medium-3-5-26-04) —
profile normalized against the 70-model field
Context window· 262K of 10M3%
Max output—
Output speed—
Affordability· $7.50 / Mtok out96%
Capability breadth· 3 of 1127%
Capability switches · 3 of 11
Reasoning mode
Tool / function use
Streaming
JSON mode
Structured outputs
Prompt caching
Fine-tuning
Web search
Code execution
Vision input
Audio input
Specifications
Every value carries a primary source and a verification date.
Capacity
Context window
262K
Pricing
Input $/Mtok
$1.50 / 1M input tokens USD per 1M tokens
Output $/Mtok
$7.50 / 1M output tokens USD per 1M tokens
Capabilities
Reasoning mode
Yes
Tool / function use
Yes
Vision input
Yes
API
API model ID
mistral-medium-3-5
General
Knowledge cutoff
November 1, 2024
Release date
April 28, 2026
Benchmarks
Sourced evaluation scores, each verified against its primary source.
SWE-bench Verified
Mistral Medium 3.5 scores 77.6% on SWE-Bench Verified, ahead of Devstral 2 and models like Qwen3.5 397B A17B.
77.6 % resolvedVerified
τ³-Telecom
It scores 91.4% on τ³-Telecom and 77.6% on SWE-Bench Verified.