Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

GPT-5 mini

OpenAI

Strongest in Harm refusal (#10 of 292), weakest in Toxicity avoidance (#176 of 268). Above par in 20 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of O3 and Kimi K2.6.

§ 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.

Safety58.4#15/329
Harm refusal59.8#10/292
Secure code64.7#14/270
Safe-prompt compliance57.9#15/82
Jailbreak resistance62.2#22/268
Fairness61.2#34/292
Factual grounding42.5#86/104
Toxicity avoidance52#176/268
Professional55.2#29/194
Legal58.4#20/173
Finance55.1#48/162
Medical54.1#53/149
Core abilities56#34/199
General intelligence58.6#31/178
Reasoning51.5#88/195
Mathematics56.7#37/152
Science52.9#67/122
Reasoning42.8#101/147
Agents49.9#128/298
Tool use62.8#14/81
Knowledge work43.3#133/208
Human preference55.7#144/354
Human preference55.7#144/354
Knowledge46.1#146/197
Document parsing45.1#58/83
Academic knowledge51.3#74/123
Coding42.1#153/179
Agentic coding41.6#149/173

§ 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 GPT-5 mini, left for the other.

Magistral Small 1.2won 17 · lost 0
Gemini 1.5 Flashwon 17 · lost 0
GPT OSS 20Bwon 22 · lost 0
GPT-4o miniwon 23 · lost 1
Command R+won 17 · lost 1
Llama 4 Scout Instructwon 23 · lost 2
Llama 3.3 70B Instructwon 19 · lost 2
Gemini 1.5 Prowon 17 · lost 2
GPT-4.1 nanowon 23 · lost 3
GPT-4.1 miniwon 22 · lost 3
Command Awon 21 · lost 3
Gemini 2.0 Flashwon 20 · lost 3
Gemini 2.5 Flash-Litewon 17 · lost 3
Mistral Large 3won 17 · lost 3
GPT-4owon 20 · lost 4
Grok 3 Miniwon 16 · lost 4
O3 Miniwon 18 · lost 5
GPT OSS 120Bwon 20 · lost 6
O4 Miniwon 20 · lost 6
DeepSeek V3won 20 · lost 6
Mistral Medium 3.5won 13 · lost 4
Grok 3won 18 · lost 6
GLM-4.5won 14 · lost 5
Grok 4.3won 16 · lost 6
Gemma 4 31Bwon 16 · lost 6
Ling 3.0 Flashwon 13 · lost 5
Kimi K2 Thinkingwon 14 · lost 6
Claude Haiku 4.5won 18 · lost 8
Kimi K2won 18 · lost 8
Claude 3.7 Sonnetwon 15 · lost 7
Grok 4 Fastwon 12 · lost 6
GPT-5.4 nanowon 14 · lost 7
Mistral Large 4won 14 · lost 7
GPT-5 nanowon 16 · lost 8
Qwen3 235B A22B Instructwon 17 · lost 9
GPT-6 Lunawon 15 · lost 8
Claude 3.5 Haikuwon 13 · lost 7
DeepSeek R1won 16 · lost 9
Gemini 2.5 Flashwon 16 · lost 10
Gemini 3.1 Flash-Litewon 12 · lost 8
MiMo V2.6 Flashwon 12 · lost 8
GPT-4.1won 15 · lost 11
MiMo V2.6 Prowon 12 · lost 9
Grok 4.1 Fastwon 13 · lost 10
DeepSeek V3.2won 14 · lost 11
GLM-4.6won 14 · lost 11
Claude 3.5 Sonnetwon 11 · lost 9
DeepSeek V4 Flashwon 13 · lost 11
O1won 11 · lost 10
MiMo V2.5 Prowon 11 · lost 10
Kimi K2.6won 12 · lost 11
O3won 13 · lost 12
Qwen3.8 Maxwon 12 · lost 12
Claude Sonnet 4won 13 · lost 13
GPT-5.6 Lunawon 12 · lost 13
DeepSeek V4 Prowon 12 · lost 13
Qwen3.7 Maxwon 11 · lost 12
Qwen3.8 27Bwon 9 · lost 10
GPT-5.4 miniwon 9 · lost 10
Gemini 3.5 Flash-Litewon 9 · lost 10
MiniMax M3won 11 · lost 13
GLM-5.2won 11 · lost 13
MiniMax M2.5won 8 · lost 10
Inkling Smallwon 8 · lost 10
Grok 4won 11 · lost 14
Kimi K2.5won 11 · lost 14
GPT-5.6 Terrawon 11 · lost 14
GPT-6 Solwon 10 · lost 13
Claude Opus 4won 10 · lost 14
Inklingwon 10 · lost 14
Gemini 2.5 Prowon 10 · lost 14
GLM-5.1won 9 · lost 13
Claude Sonnet 4.5won 11 · lost 16
GLM-5.3 Flashwon 10 · lost 15
Gemini 3.8 Flashwon 10 · lost 15
GPT-5.4won 10 · lost 16
MiniMax M2.7won 8 · lost 13
Grok 4.7won 8 · lost 13
Grok 4.5won 9 · lost 15
DeepSeek V4.1 Flashwon 7 · lost 12
GLM-4.7won 6 · lost 12
Gemini 3.5 Flashwon 8 · lost 16
Gemini 3.6 Flashwon 8 · lost 16
Claude Sonnet 4.6won 7 · lost 15
Claude Opus 4.6won 7 · lost 15
GPT-5.6 Solwon 8 · lost 18
Gemini 3 Prowon 7 · lost 16
Gemini 3.1 Prowon 6 · lost 14
Claude Haiku 5.5won 5 · lost 12
Gemini 3 Flashwon 5 · lost 12
Claude Sonnet 5won 7 · lost 17
GLM-5.3won 5 · lost 13
GPT-5.1won 6 · lost 18
Grok 4.6won 6 · lost 18
GPT-5.5won 6 · lost 20
GLM-5won 4 · lost 14
Kimi K3won 4 · lost 14
GPT-6 Astrawon 4 · lost 15
Claude Opus 4.5won 4 · lost 16
GPT-5.2won 5 · lost 20
Claude Opus 4.8won 5 · lost 20
Muse Spark 1.1won 4 · lost 18
GPT-6.1 Solwon 3 · lost 14
Claude Opus 5won 4 · lost 19
Gemini 3.7 Flashwon 3 · lost 15
GPT-5won 4 · lost 22
Claude Opus 4.7won 4 · lost 22
Claude Opus 5.5won 3 · lost 21
Claude Sonnet 5.5won 2 · lost 15
Gemini 4 Argonwon 1 · lost 16
Claude Fable 5.1won 0 · lost 19
Claude Fable 5won 0 · lost 19

§ 3 · Sources

Where the numbers come from

11 publications, 37 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1390
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 773
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 429
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 4.4%
BFCL ↗1 measureread 2026-11-10
BFCL v4 55.46%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 70.3%
Vals.ai ↗13 measuresread 2026-11-10
Vals · CaseLaw 68.49%Vals · LegalBench 81.77%Vals · CorpFin 60.18%Vals · TaxEval 75.22%Vals · MortgageTax 66.89%Vals · MedQA 96.06%Vals · MedCode 43.05%Vals · MedScribe 80.58%Vals · SWE-bench Verified 60.8% (Mini-SWE-agent)Vals · Vibe Code Bench 14.17% (OpenHands)Vals · GPQA Diamond 80.3%Vals · MMLU Pro 82.23%Vals · AIME 91.46%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 49.86%ParseBench · Tables 74.53%ParseBench · Charts 38.9%ParseBench · Content faithfulness 86.12%ParseBench · Semantic formatting 38.05%ParseBench · Visual grounding 11.69%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 97.1%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.1%HELM Safety · BBQ 96.3%HELM Safety · XSTest 97.7%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 2.6%Enkrypt · Harmful content risk 8.9%Enkrypt · CBRN risk 3.2%Enkrypt · Toxicity risk 4.8%Enkrypt · Bias risk 58.9%Enkrypt · Insecure code risk 3.1%
Vectara · Factual consistency 87.1%

Badge

PublicAI Index badge for GPT-5 mini[![PublicAI Index](https://publicai.io/model-index/badge?model=gpt-5-mini)](https://publicai.io/model-index/m/gpt-5-mini)