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The LLM benchmark aggregator.

GPT-5.5

OpenAI

Strongest in General intelligence (#5 of 178, on 1 of its 3 boards), weakest in Toxicity avoidance (#214 of 268). Above par in 27 of 29 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Claude Fable 5 and ahead of Muse Spark 1.1 and Grok 4.7.

§ 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 abilities61.5#7/199
General intelligence67.6#5/178
Language62.3#8/62
Instruction following54.8#25/62
Reasoning60.2#13/195
Science61.9#10/122
Mathematics58.8#16/152
Reasoning60.2#19/147
Professional56.4#20/194
Finance58.2#12/162
Legal59#18/173
IT operations42#20/33
Medical57.9#22/149
Human preference64.5#26/354
Human preference64.5#26/354
Knowledge55.7#32/197
Academic knowledge58.6#21/123
Document parsing55.4#34/83
Coding55.3#32/179
Agentic coding55.5#34/173
Safety55.2#51/329
Secure code63.6#20/270
Fairness60.5#39/292
Factual grounding51.6#46/104
Harm refusal54.5#79/292
Jailbreak resistance54.3#125/268
Toxicity avoidance47.3#214/268
Agents54.8#60/298
Knowledge work57.7#56/208

§ 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-5.5, left for the other.

Grok 4 Fastwon 18 · lost 0
Inkling Smallwon 18 · lost 0
GLM-4.7won 18 · lost 0
Qwen3.6 Pluswon 18 · lost 0
GLM-5won 18 · lost 0
Grok 3 Miniwon 19 · lost 0
Mistral Large 3won 20 · lost 0
Gemini 3.5 Flash-Litewon 21 · lost 0
Grok 4.3won 24 · lost 0
DeepSeek V3won 24 · lost 1
Kimi K2.5won 24 · lost 1
Kimi K2.6won 24 · lost 1
GPT-4.1 nanowon 23 · lost 1
GPT-4.1 miniwon 23 · lost 1
Grok 3won 22 · lost 1
Command Awon 21 · lost 1
Grok 4.1 Fastwon 21 · lost 1
GLM-5.1won 21 · lost 1
GPT OSS 20Bwon 20 · lost 1
GPT-5.4 miniwon 20 · lost 1
MiMo V2.5 Prowon 20 · lost 1
Kimi K2 Thinkingwon 19 · lost 1
Gemini 3.1 Flash-Litewon 19 · lost 1
GLM-4.5won 18 · lost 1
Ling 3.0 Flashwon 17 · lost 1
Gemini 2.5 Flash-Litewon 17 · lost 1
MiniMax M2.5won 17 · lost 1
MiniMax M3won 24 · lost 2
DeepSeek V4 Flashwon 24 · lost 2
DeepSeek V3.2won 23 · lost 2
GPT-6 Lunawon 23 · lost 2
Gemini 2.5 Prowon 23 · lost 2
Gemini 2.5 Flashwon 22 · lost 2
Kimi K2won 22 · lost 2
GLM-4.6won 22 · lost 2
Claude Sonnet 4.6won 22 · lost 2
GPT-4o miniwon 21 · lost 2
GPT-5.4 nanowon 21 · lost 2
Grok 4won 21 · lost 2
Qwen3 235B A22B Instructwon 21 · lost 2
Mistral Large 4won 21 · lost 2
Gemini 2.0 Flashwon 20 · lost 2
Gemma 4 31Bwon 20 · lost 2
GPT-5.6 Lunawon 25 · lost 3
Gemini 1.5 Prowon 16 · lost 2
GLM-5.2won 23 · lost 3
GPT OSS 120Bwon 22 · lost 3
Qwen3.7 Maxwon 22 · lost 3
DeepSeek R1won 21 · lost 3
Llama 4 Scout Instructwon 20 · lost 3
Qwen3.8 27Bwon 18 · lost 3
Claude Opus 4.5won 18 · lost 3
Llama 3.3 70B Instructwon 17 · lost 3
Claude Sonnet 4won 21 · lost 4
Claude Haiku 4.5won 20 · lost 4
GPT-4owon 19 · lost 4
GLM-5.3 Flashwon 23 · lost 5
O3 Miniwon 18 · lost 4
MiMo V2.6 Prowon 18 · lost 4
Grok 4.5won 22 · lost 5
Claude 3.7 Sonnetwon 17 · lost 4
Gemini 3 Prowon 17 · lost 4
O1won 16 · lost 4
O4 Miniwon 19 · lost 5
GPT-5.4won 22 · lost 6
DeepSeek V4.1 Flashwon 17 · lost 5
GPT-5 miniwon 20 · lost 6
Inklingwon 20 · lost 6
Gemini 3.5 Flashwon 20 · lost 6
MiMo V2.6 Flashwon 16 · lost 5
Claude Sonnet 4.5won 19 · lost 6
Claude 3.5 Haikuwon 15 · lost 5
DeepSeek V4 Prowon 21 · lost 7
Claude Opus 4won 17 · lost 6
O3won 17 · lost 6
Claude 3.5 Sonnetwon 14 · lost 5
GPT-5 nanowon 16 · lost 6
MiniMax M2.7won 16 · lost 6
Qwen3.8 Maxwon 18 · lost 7
GPT-4.1won 17 · lost 7
Claude Opus 4.6won 17 · lost 7
Claude Sonnet 5won 19 · lost 8
Claude Haiku 5.5won 14 · lost 6
GPT-5.2won 18 · lost 8
Gemini 3.6 Flashwon 18 · lost 8
GPT-5won 17 · lost 8
GLM-5.3won 14 · lost 7
GPT-5.1won 15 · lost 8
GPT-5.6 Terrawon 18 · lost 10
Kimi K3won 12 · lost 8
Gemini 3.1 Prowon 13 · lost 9
GPT-6 Solwon 15 · lost 11
Gemini 3.8 Flashwon 16 · lost 12
Claude Opus 4.7won 16 · lost 12
Grok 4.7won 13 · lost 10
Muse Spark 1.1won 13 · lost 11
Grok 4.6won 13 · lost 13
Gemini 3.7 Flashwon 10 · lost 11
Claude Sonnet 5.5won 8 · lost 12
Muse Spark 1.2won 7 · lost 11
Claude Opus 4.8won 10 · lost 16
GPT-5.6 Solwon 10 · lost 18
GPT-6 Astrawon 6 · lost 16
GPT-6.1 Solwon 5 · lost 15
Claude Opus 5.5won 6 · lost 21
Claude Opus 5won 5 · lost 21
Gemini 4 Argonwon 3 · lost 15
Claude Fable 5won 2 · lost 19
Claude Fable 5.1won 2 · lost 20

§ 3 · Sources

Where the numbers come from

11 publications, 42 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1481
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1359
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1135
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 85%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 80.2LiveBench 1.0 · Reasoning 89.7LiveBench 1.0 · Coding 82.1LiveBench 1.0 · Agentic Coding 54LiveBench 1.0 · Mathematics 95.9LiveBench 1.0 · Data Analysis 81.6LiveBench 1.0 · Language 87.4LiveBench 1.0 · Instruction Following 70.7
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 88.8%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 69%
Vals.ai ↗15 measuresread 2026-11-10
Vals · Legal Research Bench 40.38%Vals · CaseLaw 66.24%Vals · LegalBench 86.52%Vals · Finance Agent 51.76%Vals · CorpFin 68.42%Vals · TaxEval 74.98%Vals · MortgageTax 68.76%Vals · MedCode 49.1%Vals · MedScribe 86.87%Vals · SRE Bench 3.82%Vals · SWE-bench Verified 82.6% (Mini-SWE-agent)Vals · Vibe Code Bench 69.85% (OpenHands)Vals · Code Migration 45.16%Vals · GPQA Diamond 93.18%Vals · MMLU Pro 88.14%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 66.42%ParseBench · Tables 90.11%ParseBench · Charts 64.84%ParseBench · Content faithfulness 88.4%ParseBench · Semantic formatting 58.09%ParseBench · Visual grounding 30.64%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 9.2%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 20.7%Enkrypt · Toxicity risk 8%Enkrypt · Bias risk 61.5%Enkrypt · Insecure code risk 5.3%
Vectara · Factual consistency 90.7%

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