Devstral 2 123B is a 123 billion parameter model from Mistral AI optimized for coding and development tasks. Features advanced reasoning capabilities for software engineering workflows.
Added Dec 9, 2025
Model weightsContext Window
262.1K
Max Output
65.5K
Input Price (Auto)
$0.40/1M
Output Price (Auto)
$1.40/1M
Cache Read (Auto)
$0.20/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
19.2
Coding Index
31.3
Agentic Index
10.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
59.4%
Better than 36% of models compared
HLE
Humanity's Last Exam
3.6%
Better than 7% of models compared
IFBench
Instruction-following benchmark
38.1%
Better than 34% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
24.9%
Better than 28% of models compared
AA-LCR
Long context reasoning evaluation
31.3%
Better than 37% of models compared
GDPval-AA
Economically valuable tasks
12.2%
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
33.1%
Better than 47% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
18.9%
Better than 59% of models compared
LiveCodeBench
Contamination-free coding benchmark
44.8%
Better than 51% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
36.7%
Better than 37% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
76.2%
Better than 53% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
20.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
85.3%
Last updated Aug 18, 2026
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