Mistral Medium 3.5 with reasoning enabled by default (reasoning_effort=high), for complex coding, agentic, and multi-step reasoning prompts.
Added Apr 30, 2026
Context Window
256.0K
Max Output
32.8K
Input Price (Auto)
$1.50/1M
Output Price (Auto)
$7.50/1M
Cache Read (Auto)
$0.75/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
30.4
Coding Index
46.9
Agentic Index
19.2
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
74.8%
Better than 59% of models compared
HLE
Humanity's Last Exam
13.8%
Better than 67% of models compared
IFBench
Instruction-following benchmark
68.8%
Better than 82% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
94.2%
Better than 92% of models compared
AA-LCR
Long context reasoning evaluation
65.3%
Better than 70% of models compared
GDPval-AA
Economically valuable tasks
21.6%
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
39.6%
Better than 69% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
33.3%
Better than 77% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
24.7%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
81.6%
Last updated Aug 16, 2026
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