Mistral AI · apache_2_0

Mistral Small 4

Mistral Small 4 by Mistral AI appears in 1 source with Reasoning at 23.7. Best read for Low cost, Math, Multimodal.

CreatorMistral AI

Release date2026-03-16

Knowledge cutoffNot published

Context256K tokens

Input price$0.15/M tokens

Output price$0.6/M tokens

Modalitytext + vision

CountryFR

Metrics

All source-backed metrics

Open in leaderboard

LLM Stats Rank91ranking · source_rank

Reasoning23.7reasoning · index_reasoning

Math24.23math · index_math

Coding15.78coding · index_code

Vision11.71multimodal · index_vision

Long context39.71long_context · index_long_context

Finance21.49domain · index_finance

Legal21.49domain · index_legal

Healthcare21.21domain · index_healthcare

GPQA71.2 %reasoning · gpqa_score

AIME 202583.8 %math · aime_2025_score

Code Arena562.83 %coding · coding_arena_score

MMMU-Pro60 %multimodal · mmmu_pro_score

Context256,000 tokenscontext · context

Speed678.15 c/sperformance · throughput

Latency703.15 msperformance · latency

Input price0.15 $/Mpricing · input_price

Output price0.6 $/Mpricing · output_price

Parameters119,000,000,000 paramsmodel · params

Evidence

Citations and source overlap

LLM StatsPublic full LLM leaderboard advanced explorer snapshot, including ranking, benchmark indexes, pricing, speed, context, license, and model metadata.Retrieved 2026-06-01

FAQ

How should I read this profile?

Treat this as a source-backed model dossier, not an EvalKit-run verification. The public values are replicated from linked sources and kept source-scoped.

Is Mistral Small 4 verified by EvalKit?

No. EvalKit currently shows 0 verified rows until real run evidence exists.

Why can metrics disagree?

Different sources test different tasks, dates, prompts, and aggregation methods. EvalKit keeps those differences visible instead of merging them into a fake universal score.