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Claude Opus 4.8

Anthropic

Strongest in Medical (#6 of 140), weakest in Secure code (#121 of 274). Above par in 27 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Grok 4.7 and GPT-5.5.

§ 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.

Safety59.8#8/337
Fairness69.1#14/300
Harm refusal59.2#16/300
Jailbreak resistance61.6#27/272
Toxicity avoidance58#32/272
Secure code54.3#121/274
Professional58.6#10/168
Medical60.5#6/140
Finance59.1#8/151
Legal58.4#21/151
Knowledge58.7#11/138
Academic knowledge60.4#9/123
Reasoning59.6#15/178
Science61.4#16/122
Reasoning60.1#21/140
Mathematics57.5#22/140
Human preference64.7#19/342
Human preference64.7#19/342
Coding57.5#20/165
Code generation59#14/77
Agentic coding57.1#25/157
Agents60.3#30/268
Knowledge work63.4#26/178
Core abilities54.4#53/204
General intelligence63.3#9/204
Instruction following57.2#17/57
Language50.8#30/57
Data analysis37.5#49/57

§ 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 Claude Opus 4.8, left for the other.

Gemini 2.5 Flash Litewon 17 · lost 0
Mistral Medium 3.5won 17 · lost 0
Gemini 1.5 Prowon 18 · lost 0
Mistral Smallwon 19 · lost 0
GLM-4.5won 19 · lost 0
Mistral Large 3won 19 · lost 0
Grok 3won 20 · lost 0
Llama 4 Scout Instructwon 22 · lost 0
Command Awon 22 · lost 0
Gemini 2.0 Flashwon 22 · lost 0
Gemini 3.5 Flash Litewon 22 · lost 0
Claude Sonnet 4.5won 24 · lost 0
DeepSeek V3won 25 · lost 0
DeepSeek V4 Flashwon 27 · lost 1
Grok 4.3won 27 · lost 1
Kimi K2.6won 27 · lost 1
Claude Sonnet 4.6won 25 · lost 1
GPT-4o Miniwon 23 · lost 1
GPT-4.1 Nanowon 23 · lost 1
GPT OSS 120Bwon 23 · lost 1
GPT-4.1 Miniwon 23 · lost 1
Gemini 2.5 Flashwon 23 · lost 1
Claude Haiku 4.5won 23 · lost 1
DeepSeek V3.2won 23 · lost 1
O3 Miniwon 22 · lost 1
GPT-5.4 Nanowon 22 · lost 1
Grok 4won 22 · lost 1
Kimi K2won 22 · lost 1
GLM-4.6won 22 · lost 1
Mimo V2.5 Prowon 22 · lost 1
Qwen3.6 Pluswon 21 · lost 1
GPT-5.4 Miniwon 21 · lost 1
GLM-5.1won 21 · lost 1
GPT OSS 20Bwon 20 · lost 1
GPT-4owon 20 · lost 1
Claude 3.7 Sonnetwon 20 · lost 1
Grok 4.1 Fastwon 20 · lost 1
Gemma 4 31Bwon 20 · lost 1
Kimi K2 Thinkingwon 19 · lost 1
Kimi K2.7 Codewon 18 · lost 1
Ling 3.0 Flashwon 17 · lost 1
Gemini 3.1 Flash Litewon 17 · lost 1
Mistral Largewon 16 · lost 1
Grok 4 Fastwon 16 · lost 1
GLM-5won 16 · lost 1
GLM-5.2won 26 · lost 2
GPT-6 Lunawon 23 · lost 2
Gemini 2.5 Prowon 23 · lost 2
DeepSeek R1won 22 · lost 2
GPT-4.1won 21 · lost 2
Qwen3 235B A22B Instructwon 21 · lost 2
Claude Opus 4won 21 · lost 2
Grok Build 0.1won 17 · lost 2
MiniMax M3won 25 · lost 3
GLM-5.3 Flashwon 25 · lost 3
Qwen3.7 Maxwon 25 · lost 3
Kimi K2.5won 21 · lost 3
Claude Opus 4.5won 19 · lost 3
GPT-5 Nanowon 18 · lost 3
Inklingwon 24 · lost 4
Gemini 3.5 Flashwon 24 · lost 4
GPT-5.2won 23 · lost 4
O1won 17 · lost 3
Claude Sonnet 4won 21 · lost 4
O4 Miniwon 20 · lost 4
GPT-5.6 Lunawon 23 · lost 5
DeepSeek V4 Prowon 23 · lost 5
Gemini 3.6 Flashwon 23 · lost 5
Qwen3.8 27Bwon 18 · lost 4
GPT-5.1won 18 · lost 4
MiniMax M2.7won 17 · lost 4
Claude 3.5 Haikuwon 16 · lost 4
GPT-5 Miniwon 19 · lost 5
GPT-5won 19 · lost 5
Claude Opus 4.6won 19 · lost 5
Grok 4.5won 22 · lost 6
GPT-5.4won 22 · lost 6
Claude 3.5 Sonnetwon 15 · lost 5
O3won 18 · lost 6
GPT-5.6 Terrawon 20 · lost 8
Mimo V2.6 Prowon 13 · lost 6
GLM-5.3won 15 · lost 7
Muse Spark 1.1won 19 · lost 9
DeepSeek V4.1 Flashwon 14 · lost 7
Qwen3.8 Maxwon 18 · lost 10
Grok 4.6won 17 · lost 11
Claude Sonnet 5won 17 · lost 11
Gemini 3.7 Flashwon 13 · lost 9
Gemini 3.8 Flashwon 16 · lost 12
Claude Opus 4.7won 16 · lost 12
Gemini 3.1 Prowon 13 · lost 10
GPT-5.5won 15 · lost 13
Grok 4.7won 13 · lost 12
Gemini 3 Prowon 10 · lost 10
GPT-6 Solwon 12 · lost 13
GPT-5.6 Solwon 13 · lost 15
Muse Spark 1.2won 9 · lost 12
Kimi K3won 9 · lost 13
GPT-6 Astrawon 8 · lost 12
Claude Opus 5won 7 · lost 21
Claude Opus 5.5won 6 · lost 19
Muse Spark 1.3won 3 · lost 15
Claude Fable 5.1won 0 · lost 22
Claude Fable 5won 0 · lost 22

§ 3 · Sources

Where the numbers come from

10 publications, 35 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1480
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1438
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1321
Terminal-Bench ↗1 measureread 2026-09-26
Terminal-Bench 23.6% (Claude Code)
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 72.1%
LiveBench ↗8 measuresread 2026-09-26
LiveBench 76.2LiveBench · Reasoning 89.2LiveBench · Coding 81.8LiveBench · Agentic Coding 50.5LiveBench · Mathematics 94.3LiveBench · Data Analysis 66LiveBench · Language 79.7LiveBench · Instruction Following 72
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 88.8%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 64.8%
Vals.ai ↗14 measuresread 2026-09-26
Vals · Legal Research Bench 43.75%Vals · LegalBench 83.57%Vals · Harvey Legal Agent Benchmark 9.58%Vals · Finance Agent 53.92%Vals · CorpFin 66.71%Vals · TaxEval 75.63%Vals · MortgageTax 69.91%Vals · MedCode 53.22%Vals · MedScribe 85.75%Vals · SWE-bench Verified 88.6% (Mini-SWE-agent)Vals · Vibe Code Bench 82.72% (OpenHands)Vals · Code Migration 47.25%Vals · GPQA Diamond 92.42%Vals · MMLU Pro 89.58%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 3%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 8%Enkrypt · Toxicity risk 0.7%Enkrypt · Bias risk 48.1%Enkrypt · Insecure code risk 24.9%

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