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GPT-5.6 Sol

OpenAI

Strongest in Science (#2 of 122), weakest in Toxicity avoidance (#225 of 268). Above par in 31 of 36 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Claude Opus 5.5 and ahead of Claude Opus 4.8 and Claude Sonnet 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.

Knowledge59.7#9/197
Document parsing60#9/83
Academic knowledge59.8#16/123
Multimodal understanding53.2—/19✱
Reasoning60.6#11/195
Science63.4#2/122
Mathematics60#13/152
Reasoning59.7#21/147
Expert reasoning44.4—/0✱
Coding59.5#12/179
Agentic coding59.9#11/173
Repository Q&A44.5—/0✱
Professional57.1#15/194
Cybersecurity60.3#4/47
IT operations62.1#6/33
Biology research52.2#13/31
Legal59.5#14/173
Finance57#31/162
Medical54#55/149
Human preference64.8#19/354
Human preference64.8#19/354
Core abilities58.1#21/199
Language62.7#7/62
Instruction following56.8#21/62
General intelligence57#42/178
Agents58.2#27/298
Web research52.9#15/35
Knowledge work64.4#26/208
Workflow automation48.1—/0✱
Safety53#100/329
Secure code62.8#33/270
Harm refusal55#73/292
Fairness53.7#79/292
Factual grounding43.8#85/104
Jailbreak resistance54.3#125/268
Toxicity avoidance46#225/268

§ 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-5.6 Sol, left for the other.

Gemini 3.5 Flash-Litewon 22 · lost 0
DeepSeek V4 Flashwon 27 · lost 1
GLM-5.2won 25 · lost 1
DeepSeek V3won 24 · lost 1
GPT-4.1 nanowon 23 · lost 1
Grok 4.3won 23 · lost 1
Grok 3won 22 · lost 1
Qwen3.8 27Bwon 22 · lost 1
Grok 4.1 Fastwon 21 · lost 1
MiniMax M3won 25 · lost 2
Mistral Large 4won 23 · lost 2
GPT-4.1 miniwon 22 · lost 2
GPT-4o miniwon 21 · lost 2
Command Awon 21 · lost 2
GPT-5.4 nanowon 21 · lost 2
Grok 4won 21 · lost 2
Gemma 4 31Bwon 21 · lost 2
Gemini 2.0 Flashwon 20 · lost 2
GLM-5.1won 20 · lost 2
GPT-5.6 Lunawon 27 · lost 3
DeepSeek V4 Prowon 26 · lost 3
DeepSeek V3.2won 22 · lost 3
Kimi K2.6won 22 · lost 3
Qwen3.7 Maxwon 22 · lost 3
Gemini 2.5 Flashwon 21 · lost 3
Kimi K2won 21 · lost 3
GLM-4.6won 21 · lost 3
Llama 4 Scout Instructwon 20 · lost 3
MiMo V2.6 Flashwon 20 · lost 3
GLM-5.3 Flashwon 26 · lost 4
GLM-5.3won 19 · lost 3
GPT-6 Lunawon 25 · lost 4
Kimi K2.5won 21 · lost 4
DeepSeek R1won 20 · lost 4
Qwen3 235B A22B Instructwon 20 · lost 4
Claude Sonnet 4.6won 20 · lost 4
GPT-4owon 19 · lost 4
Claude Haiku 5.5won 19 · lost 4
Gemini 3.6 Flashwon 23 · lost 5
GPT OSS 120Bwon 20 · lost 5
Gemini 2.5 Prowon 20 · lost 5
DeepSeek V4.1 Flashwon 20 · lost 5
GPT-5.6 Terrawon 24 · lost 6
O4 Miniwon 19 · lost 5
MiMo V2.6 Prowon 19 · lost 5
Inklingwon 22 · lost 6
Claude Sonnet 5won 22 · lost 6
Qwen3.8 Maxwon 22 · lost 6
Gemini 3.5 Flashwon 21 · lost 6
O3 Miniwon 17 · lost 5
Claude Sonnet 4won 19 · lost 6
Claude Haiku 4.5won 18 · lost 6
GPT-5.4won 21 · lost 7
Kimi K3won 17 · lost 6
MiniMax M2.7won 16 · lost 6
Grok 4.5won 21 · lost 8
Claude Sonnet 4.5won 18 · lost 7
GPT-4.1won 17 · lost 7
GPT-5 miniwon 18 · lost 8
GPT-5 nanowon 15 · lost 7
Gemini 3.7 Flashwon 15 · lost 7
GPT-5won 17 · lost 8
GPT-6 Solwon 18 · lost 9
Gemini 3.8 Flashwon 20 · lost 10
Claude Opus 4won 15 · lost 8
GPT-5.5won 18 · lost 10
O3won 14 · lost 8
Grok 4.7won 17 · lost 10
Claude Opus 4.6won 15 · lost 9
GPT-5.2won 16 · lost 10
Gemini 3.1 Prowon 14 · lost 9
Grok 4.6won 17 · lost 12
Muse Spark 1.1won 14 · lost 10
Claude Opus 4.7won 16 · lost 12
GPT-5.1won 13 · lost 10
Claude Sonnet 5.5won 13 · lost 10
Claude Opus 4.8won 15 · lost 12
GPT-6 Astrawon 9 · lost 16
GPT-6.1 Solwon 8 · lost 15
Claude Opus 5won 8 · lost 20
Claude Fable 5won 4 · lost 18
Claude Opus 5.5won 4 · lost 26
Claude Fable 5.1won 3 · lost 21

§ 3 · Sources

Where the numbers come from

13 publications, 62 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1485
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1618
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1479
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 38.5% (Codex)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 92.5%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 81LiveBench 1.0 · Reasoning 91.7LiveBench 1.0 · Coding 83.9LiveBench 1.0 · Agentic Coding 56.2LiveBench 1.0 · Mathematics 96.2LiveBench 1.0 · Data Analysis 79.8LiveBench 1.0 · Language 87.7LiveBench 1.0 · Instruction Following 71.8
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 67%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 64.8%
Vals.ai ↗18 measuresread 2026-11-10
Vals · Legal Research Bench 48.08%Vals · LegalBench 86.97%Vals · Finance Agent 53.76%Vals · CorpFin 64.38%Vals · TaxEval 74.78%Vals · MortgageTax 67.29%Vals · MedCode 43.97%Vals · MedScribe 85.23%Vals · BioMysteryBench 71.11%Vals · CyberBench 76.31%Vals · SRE Bench 30.53%Vals · Web Search Index 49.08% (Keenable)Vals · SWE-bench Verified 96.2% (Mini-SWE-agent)Vals · Vibe Code Bench 80.5% (OpenHands)Vals · Code Migration 52.92%Vals · GPQA Diamond 95.2%Vals · MMLU Pro 89.1%Vals · ProofBench 83%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 74.4%ParseBench · Tables 91.41%ParseBench · Charts 68.68%ParseBench · Content faithfulness 87.84%ParseBench · Semantic formatting 77.16%ParseBench · Visual grounding 46.9%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 9.2%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 19.2%Enkrypt · Toxicity risk 8.9%Enkrypt · Bias risk 72.1%Enkrypt · Insecure code risk 7.1%
Vectara · Factual consistency 87.6%
GPQA Diamond (Pass@1) 94.1%HLE (Pass@1) 44.5%Terminal-Bench 2.1 (Pass@1) 88.8%Terminal-Bench 3.0 (Pass@1) 34.4%Terminal-Bench 4.0 (Pass@1) 39.9%DeepSWE v1.1 (Resolved) 73%ProgramBench (Almost@1) 23%NL2Repo-Bench (Score) 56.8%CyberGym (Pass@1) 84.5%SEC-Bench Pro (Pass@1) 74.3%ExploitGym (Pass@1) 33.7%AutomationBench (Pass@1) 45.8%Agent's Last Exam (Pass@1) 26.7%Chartography w/ tools (Pass@1) 79.9%BabyVision w/ tools (Pass@1) 88.9%ZeroBench-main w/ tools (Pass@5) 53%

Badge

PublicAI Index badge for GPT-5.6 Sol[![PublicAI Index](https://publicai.io/model-index/badge?model=gpt-5-6-sol)](https://publicai.io/model-index/m/gpt-5-6-sol)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API