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Mistral Small 4

Mistral AI · 2026-03-16 · 119.4B parameters

Mistral Small 4 is Mistral AI's March 2026 open-weight hybrid model unifying instruction following, configurable reasoning, coding and agentic work, and text-and-image input in a single 128-expert Mixture-of-Experts checkpoint, with four experts routed per token. Mistral publishes rounded sizes of 119B total parameters and 6.5B active per token; the official model card's serving command gives the 256K context limit exactly as 262,144 tokens. The weights are released under Apache 2.0.

Benchmark scores

BenchmarkScore
AA-AnalystAgent (pass@1)7.3
AA-AnalystAgent (pass@5)23.8
AA-AnalystAgent (pass^5)1.3
AA-Briefcase Elo256
AA-Briefcase v1.1 Elo241
AA-LCR44.7
AA-LCR v1.149.7
AA-Omniscience Index-30.4
AA-Omniscience v1.1 Accuracy21.4
AA-Omniscience v1.1 Hallucination Rate66.6
AA-Omniscience v1.1 Index-31.0
ALE-Bench862
Artificial Analysis Agentic Index4.7
Artificial Analysis Coding Index26.6
Artificial Analysis Intelligence Index19.6
Artificial Analysis Intelligence Index v4.311.5
Artificial Analysis Intelligence Index v4.3.211.3
Artificial Analysis Omniscience Accuracy21.7
Artificial Analysis Omniscience Hallucination Rate66.5
Artificial Analysis Openness Index38.9
Artificial Analysis Progress Index v1219
AutomationBench-AA 1.0.61.0
BLXBench67.8
BLXBench Coding category89.3
BLXBench Cost category90.7
BLXBench Debugging category67.9
BLXBench Hallucination category65.0
BLXBench pass rate45.2
BLXBench Reasoning category69.2
BLXBench Refactoring category62.5
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