Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Mistral Small

Mistral

Strongest in Science (#107 of 122), weakest in Reasoning (#184 of 195). Above par in 0 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and GPT-5.5 and ahead of GPT-4.1 nano and NVIDIA Nemotron 3.5 Lightning 30B A3B.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Core abilities44.9#144/199
General intelligence42.7#138/178
Knowledge41.3#174/197
Academic knowledge29#116/123
Professional40.5#179/194
Medical35.9#137/149
Finance35#153/162
Reasoning36.2#184/195
Science32.4#107/122
Mathematics33.9#145/152

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Mistral Small, left for the other.

Jamba 1.6 Miniwon 8 · lost 0
Jamba 1.6 Largewon 7 · lost 1
Command R+won 5 · lost 1
Claude 3.5 Haikuwon 5 · lost 2
GPT-4.1 nanowon 6 · lost 4
GPT-4o miniwon 5 · lost 5
Mistral Medium 3.5won 5 · lost 5
Llama 4 Scout Instructwon 5 · lost 5
Gemini 1.5 Flashwon 3 · lost 4
Laguna M.1won 3 · lost 4
Gemma 4 31Bwon 2 · lost 4
Command Awon 3 · lost 7
Llama 3.3 70B Instructwon 2 · lost 5
Laguna XS.2won 2 · lost 5
Mistral Large 2.1won 2 · lost 6
Magistral Small 1.2won 2 · lost 6
GPT-5.4 nanowon 2 · lost 8
MiniMax M3won 2 · lost 8
Inklingwon 2 · lost 8
Gemini 3.5 Flash-Litewon 2 · lost 8
Step 5won 1 · lost 5
Mistral Large 4won 1 · lost 6
GPT-4owon 1 · lost 7
Grok 2won 1 · lost 7
Claude Haiku 5.5won 1 · lost 7
GPT-6 Lunawon 1 · lost 7
GPT-5.4 miniwon 1 · lost 8
Qwen3.6 Pluswon 1 · lost 8
Grok 4.3won 1 · lost 8
GPT-5.6 Lunawon 1 · lost 9
Muse Spark 1.3won 0 · lost 6
Muse Wonderwon 0 · lost 6
Mistral Medium 3.1won 0 · lost 7
Ling 3.0 Flashwon 0 · lost 7
MiMo V2.6 Flashwon 0 · lost 7
MiMo V2.6 Prowon 0 · lost 7
GPT-6 Solwon 0 · lost 7
Grok 4.7won 0 · lost 7
Muse Wonder Fullwon 0 · lost 7
Gemini 4 Argonwon 0 · lost 7
Gemini 1.5 Prowon 0 · lost 8
Gemini 2.0 Flashwon 0 · lost 8
Claude 3.5 Sonnetwon 0 · lost 8
Claude 3.7 Sonnetwon 0 · lost 8
MiMo V2.5won 0 · lost 8
O3 Miniwon 0 · lost 8
MiMo V2.5 Prowon 0 · lost 8
DeepSeek V4won 0 · lost 8
O1won 0 · lost 8
Claude Haiku 4.5won 0 · lost 8
MiniMax M2.1won 0 · lost 8
Magistral Medium 1.2won 0 · lost 8
Claude Opus 4.1won 0 · lost 8
GLM-4.7won 0 · lost 8
GPT-5.1won 0 · lost 8
GLM-5.1won 0 · lost 8
Grok 4.1 Fastwon 0 · lost 8
Qwen3.5 Flashwon 0 · lost 8
Qwen 3.5 Pluswon 0 · lost 8
Gemini 3 Flashwon 0 · lost 8
MiniMax M2.7won 0 · lost 8
Muse Sparkwon 0 · lost 8
Muse Spark 1.2won 0 · lost 8
Claude Sonnet 5.5won 0 · lost 8
DeepSeek V4.1 Flashwon 0 · lost 8
Claude Opus 5.5won 0 · lost 8
GPT-6.1 Solwon 0 · lost 8
GPT-6 Astrawon 0 · lost 8
Claude Sonnet 5won 0 · lost 9
Claude Sonnet 4.6won 0 · lost 9
Kimi K2.6won 0 · lost 9
Muse Spark 1.1won 0 · lost 9
Claude Opus 5won 0 · lost 9
Qwen3.7 Maxwon 0 · lost 9
DeepSeek R1won 0 · lost 9
Gemini 3.6 Flashwon 0 · lost 9
Gemini 3.5 Flashwon 0 · lost 9
Gemini 3.1 Prowon 0 · lost 9
Gemini 3.7 Flashwon 0 · lost 9
Inkling Smallwon 0 · lost 10
GLM-5.3 Flashwon 0 · lost 10
GPT OSS 120Bwon 0 · lost 10
Gemini 2.5 Flash-Litewon 0 · lost 10
GLM-4.6won 0 · lost 10
GLM-5.2won 0 · lost 10
GPT-4.1 miniwon 0 · lost 10
Qwen3.8 27Bwon 0 · lost 10
DeepSeek V4 Flashwon 0 · lost 10
Mistral Large 3won 0 · lost 10
DeepSeek V3.2won 0 · lost 10
Kimi K2won 0 · lost 10
DeepSeek V3won 0 · lost 10
GPT-4.1won 0 · lost 10
GPT OSS 20Bwon 0 · lost 10
DeepSeek V4 Prowon 0 · lost 10
Qwen3 235B A22B Instructwon 0 · lost 10
MiniMax M2.5won 0 · lost 10
Gemini 2.5 Flashwon 0 · lost 10
GPT-5.2won 0 · lost 10
GPT-5.6 Terrawon 0 · lost 10
GLM-4.5won 0 · lost 10
Claude Sonnet 4.5won 0 · lost 10
Gemini 3.8 Flashwon 0 · lost 10
GLM-5.3won 0 · lost 10
Grok 3 Miniwon 0 · lost 10
Grok 3won 0 · lost 10
GPT-5 nanowon 0 · lost 10
Claude Opus 4.5won 0 · lost 10
Grok 4.6won 0 · lost 10
Kimi K2 Thinkingwon 0 · lost 10
Qwen3.8 Maxwon 0 · lost 10
Claude Opus 4.7won 0 · lost 10
Grok 4 Fastwon 0 · lost 10
GPT-5.4won 0 · lost 10
Gemini 3.1 Flash-Litewon 0 · lost 10
O4 Miniwon 0 · lost 10
O3won 0 · lost 10
Kimi K3won 0 · lost 10
Claude Opus 4.6won 0 · lost 10
GPT-5 miniwon 0 · lost 10
Gemini 2.5 Prowon 0 · lost 10
Qwen3 Maxwon 0 · lost 10
GPT-5won 0 · lost 10
Claude Sonnet 4won 0 · lost 10
Grok 4won 0 · lost 10
Claude Opus 4won 0 · lost 10
Grok 4.20won 0 · lost 10
GLM-5won 0 · lost 10
GPT-5.6 Solwon 0 · lost 10
Kimi K2.5won 0 · lost 10
Grok 4.5won 0 · lost 10
Gemini 3 Prowon 0 · lost 10
Claude Opus 4.8won 0 · lost 10
Claude Fable 5.1won 0 · lost 10
GPT-5.5won 0 · lost 10
Claude Fable 5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

2 publications, 6 figures. Every one links to the page it was read from.

Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 37.8%
Vals.ai ↗5 measuresread 2026-11-10
Vals · TaxEval 49.14%Vals · MedQA 56.98%Vals · GPQA Diamond 50.76%Vals · MMLU Pro 64.44%Vals · AIME 5.63%

Badge

PublicAI Index badge for Mistral Small[![PublicAI Index](https://publicai.io/model-index/badge?model=mistral-small)](https://publicai.io/model-index/m/mistral-small)