Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Grok 4.5

SpaceXAI

Strongest in Web research (#4 of 4), weakest in Toxicity avoidance (#191 of 272). Above par in 25 of 30 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Gemini 3.6 Flash and GPT-5.1.

§ 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.

Knowledge58.3#16/138
Academic knowledge60#14/123
Core abilities56.9#26/204
General intelligence61.2#16/204
Language56.6#20/57
Instruction following56.3#20/57
Data analysis49.3#36/57
Professional54.6#37/168
IT operations40.1#10/11
Legal59.9#13/151
Medical54.9#39/140
Finance54.4#54/151
Human preference63.3#42/342
Human preference63.3#42/342
Reasoning54.9#45/178
Science61.8#12/122
Reasoning58.3#29/140
Mathematics47.6#89/140
Safety55#52/337
Secure code66.3#5/274
Fairness57.4#48/300
Harm refusal52.8#114/300
Jailbreak resistance52.8#145/272
Toxicity avoidance51#191/272
Agents54.9#66/268
Web research36.5#4/4
Knowledge work62.2#30/178
Coding50.1#74/165
Agentic coding54.8#40/157
Code generation32#73/77

§ 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 Grok 4.5, left for the other.

Grok Build 0.1won 19 · lost 0
Mistral Large 3won 19 · lost 0
Grok 4.3won 27 · lost 1
DeepSeek V3won 24 · lost 1
Command Awon 21 · lost 1
Gemini 2.0 Flashwon 21 · lost 1
GPT-5.4 Miniwon 21 · lost 1
Gemini 3.5 Flash Litewon 21 · lost 1
Grok 3won 19 · lost 1
Mistral Smallwon 18 · lost 1
Ling 3.0 Flashwon 17 · lost 1
Gemini 3.1 Flash Litewon 17 · lost 1
GPT-4.1 Miniwon 22 · lost 2
Llama 4 Scout Instructwon 20 · lost 2
Qwen3.6 Pluswon 20 · lost 2
GPT OSS 20Bwon 19 · lost 2
Kimi K2 Thinkingwon 18 · lost 2
Kimi K2.7 Codewon 17 · lost 2
GLM-4.5won 17 · lost 2
GPT-4.1 Nanowon 21 · lost 3
GPT OSS 120Bwon 21 · lost 3
Gemini 2.5 Flashwon 21 · lost 3
GPT-5.4 Nanowon 20 · lost 3
GLM-4.6won 20 · lost 3
Mimo V2.5 Prowon 20 · lost 3
GLM-5.1won 19 · lost 3
Grok 4.1 Fastwon 18 · lost 3
Gemma 4 31Bwon 18 · lost 3
Kimi K2.6won 24 · lost 4
Gemini 1.5 Prowon 15 · lost 3
GPT-4o Miniwon 20 · lost 4
DeepSeek V3.2won 20 · lost 4
Kimi K2.5won 20 · lost 4
Kimi K2won 19 · lost 4
DeepSeek R1won 19 · lost 5
GPT-4owon 16 · lost 5
Gemini 2.5 Prowon 19 · lost 6
MiniMax M3won 22 · lost 7
Claude 3.5 Haikuwon 15 · lost 5
Claude Haiku 4.5won 18 · lost 6
DeepSeek V4 Flashwon 21 · lost 7
Grok 4won 17 · lost 6
Qwen3 235B A22B Instructwon 17 · lost 6
Inklingwon 21 · lost 8
Qwen3.7 Maxwon 20 · lost 8
O4 Miniwon 17 · lost 7
GLM-5.2won 20 · lost 9
Qwen3.8 27Bwon 15 · lost 7
Claude Sonnet 4won 17 · lost 8
GPT-6 Lunawon 17 · lost 8
GPT-5 Nanowon 14 · lost 7
Claude 3.7 Sonnetwon 14 · lost 7
MiniMax M2.7won 14 · lost 7
GPT-5 Miniwon 16 · lost 8
O3 Miniwon 15 · lost 8
Claude 3.5 Sonnetwon 13 · lost 7
O1won 13 · lost 7
DeepSeek V4 Prowon 18 · lost 10
O3won 15 · lost 9
GPT-5won 15 · lost 9
Claude Sonnet 4.5won 15 · lost 9
GPT-5.6 Lunawon 18 · lost 11
Claude Sonnet 4.6won 16 · lost 10
GPT-4.1won 14 · lost 9
Claude Opus 4.5won 13 · lost 9
GLM-5.3 Flashwon 16 · lost 12
Claude Opus 4won 13 · lost 10
Gemini 3.5 Flashwon 16 · lost 13
GPT-5.1won 12 · lost 10
Gemini 3.6 Flashwon 15 · lost 13
GLM-5.3won 11 · lost 11
Claude Opus 4.6won 12 · lost 12
GPT-5.4won 14 · lost 14
Claude Sonnet 5won 14 · lost 15
GPT-5.2won 13 · lost 14
GPT-6 Solwon 12 · lost 13
Muse Spark 1.1won 13 · lost 15
Gemini 3.8 Flashwon 12 · lost 16
Gemini 3.1 Prowon 9 · lost 14
DeepSeek V4.1 Flashwon 8 · lost 14
GPT-5.6 Terrawon 10 · lost 18
Qwen3.8 Maxwon 10 · lost 18
Claude Opus 4.7won 10 · lost 18
Gemini 3 Prowon 7 · lost 13
Grok 4.7won 8 · lost 17
GPT-5.6 Solwon 9 · lost 21
Mimo V2.6 Prowon 5 · lost 14
GPT-5.5won 7 · lost 22
Muse Spark 1.2won 5 · lost 16
Gemini 3.7 Flashwon 5 · lost 18
Claude Opus 4.8won 6 · lost 22
Kimi K3won 4 · lost 18
Claude Opus 5won 5 · lost 24
Grok 4.6won 3 · lost 25
GPT-6 Astrawon 2 · lost 19
Claude Opus 5.5won 2 · lost 24
Muse Spark 1.3won 0 · lost 18
Claude Fable 5.1won 0 · lost 23
Claude Fable 5won 0 · lost 23

§ 3 · Sources

Where the numbers come from

10 publications, 38 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1465
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1370
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1283
Terminal-Bench ↗1 measureread 2026-09-26
Terminal-Bench 12.4% (Grok Build)
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 52.6%
LiveBench ↗8 measuresread 2026-09-26
LiveBench 75.8LiveBench · Reasoning 87.2LiveBench · Coding 68.6LiveBench · Agentic Coding 56.5LiveBench · Mathematics 90.8LiveBench · Data Analysis 73LiveBench · Language 82.8LiveBench · Instruction Following 71.5
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 83.5%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 70%
Vals.ai ↗17 measuresread 2026-09-26
Vals · Legal Research Bench 37.98%Vals · LegalBench 85.97%Vals · Harvey Legal Agent Benchmark 12.92%Vals · Finance Agent 48.35%Vals · CorpFin 67.41%Vals · TaxEval 71.67%Vals · MortgageTax 61.8%Vals · MedCode 43.29%Vals · MedScribe 86.88%Vals · SRE Bench 0.76%Vals · Web Search Index 38.75% (Exa)Vals · SWE-bench Verified 86.6% (Mini-SWE-agent)Vals · Vibe Code Bench 69% (OpenHands)Vals · Code Migration 36.6%Vals · GPQA Diamond 92.93%Vals · MMLU Pro 89.22%Vals · ProofBench 31%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 10.4%Enkrypt · Harmful content risk 0%Enkrypt · CBRN risk 25.3%Enkrypt · Toxicity risk 5.6%Enkrypt · Bias risk 66.4%Enkrypt · Insecure code risk 0.4%

Badge

PublicAI Index badge for Grok 4.5[![PublicAI Index](https://publicai.io/model-index/badge?model=grok-4-5)](https://publicai.io/model-index/m/grok-4-5)