Mistral Small 4 with reasoning enabled (reasoning_effort=high). A hybrid MoE model with deep step-by-step reasoning for complex prompts, coding, and multi-step problem solving.
Added Mar 17, 2026
Context Window
262.1K
Max Output
16.4K
Input Price (Auto)
$0.40/1M
Output Price (Auto)
$1.40/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
27.8
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Coding Index
24.3
GPQA Diamond
Graduate-level scientific reasoning
76.9%
Better than 76% of models compared
HLE
Humanity's Last Exam
9.5%
Better than 70% of models compared
IFBench
Instruction-following benchmark
48.2%
Better than 65% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
41.2%
Better than 55% of models compared
AA-LCR
Long context reasoning evaluation
44.7%
Better than 63% of models compared
SciCode
Python programming for scientific computing
38.0%
Better than 76% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
17.4%
Better than 64% of models compared
Last updated May 15, 2026
Artificial Analysis
