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GPT-6 Astra

OpenAI

Strongest in IT operations (#1 of 33), weakest in Safety (#155 of 329). Above par in 27 of 29 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of Gemini 4 Argon 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.

Core abilities65.3#2/199
Data analysis62.4#2/31
General intelligence67.8#3/178
Language64.9#4/62
Instruction following63.5#7/62
Reasoning64.2#4/195
Mathematics63.3#4/152
Reasoning65.9#4/147
Coding62.7#5/179
Agentic coding63.2#5/173
Agents63.8#6/298
Long-horizon work70.9#2/31
Web research59.6#4/35
Computer use62#10/68
Knowledge work65.2#20/208
Knowledge57.4#23/197
Document parsing57.9#22/83
Professional54.7#33/194
IT operations73.8#1/33
Biology research64.2#4/31
Document design60.8#5/31
Medical58#21/149
Cybersecurity28#44/47
Finance53.7#68/162
Legal48.8#100/173
Human preference63.8#35/354
Human preference63.8#35/354
Safety51#155/329
Factual grounding53.1#44/104

§ 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-6 Astra, left for the other.

DeepSeek R1won 18 · lost 0
Kimi K2.5won 19 · lost 0
Gemma 4 31Bwon 21 · lost 1
Step 5won 20 · lost 1
GPT OSS 120Bwon 17 · lost 1
Mistral Large 3won 17 · lost 1
DeepSeek V3.2won 17 · lost 1
GPT-6 Lunawon 26 · lost 2
Qwen3.8 27Bwon 23 · lost 2
Mistral Large 4won 22 · lost 2
GPT-5.4 nanowon 19 · lost 2
DeepSeek V4 Flashwon 19 · lost 2
Gemini 3.5 Flash-Litewon 18 · lost 2
Claude Sonnet 4won 17 · lost 2
GPT-5.4 miniwon 17 · lost 2
DeepSeek V3won 16 · lost 2
Gemini 3.1 Flash-Litewon 16 · lost 2
Qwen3.7 Maxwon 16 · lost 2
Inklingwon 22 · lost 3
GPT-6 Solwon 20 · lost 3
Claude Haiku 5.5won 23 · lost 4
GPT-5.6 Terrawon 23 · lost 4
Claude Sonnet 4.5won 16 · lost 3
Kimi K2.6won 16 · lost 3
MiMo V2.6 Flashwon 15 · lost 3
GPT-5.6 Lunawon 19 · lost 4
DeepSeek V4 Prowon 18 · lost 4
Grok 4.5won 18 · lost 4
MiniMax M3won 17 · lost 4
Claude Sonnet 5won 17 · lost 4
Grok 4.7won 21 · lost 5
Claude Sonnet 4.6won 16 · lost 4
Kimi K3.1 Prowon 16 · lost 4
GPT-5 miniwon 15 · lost 4
GPT-5.2won 15 · lost 4
GLM-5.2won 15 · lost 4
Gemini 2.5 Prowon 14 · lost 4
Grok 4.6won 20 · lost 6
GPT-6.1 Solwon 20 · lost 6
Gemini 3.6 Flashwon 16 · lost 5
Qwen3.8 Maxwon 19 · lost 6
GLM-5.3 Flashwon 20 · lost 7
GPT-5.5won 16 · lost 6
DeepSeek V4.1 Flashwon 21 · lost 8
GPT-5won 13 · lost 5
Kimi K3won 18 · lost 7
Gemini 3.1 Prowon 15 · lost 6
GLM-5.3won 14 · lost 6
MiMo V2.6 Prowon 16 · lost 7
Muse Spark 1.3won 16 · lost 7
Claude Opus 4.5won 13 · lost 6
Gemini 3.8 Flashwon 19 · lost 9
GPT-5.4won 14 · lost 7
Claude Opus 4.7won 14 · lost 7
Muse Wonderwon 15 · lost 8
Claude Opus 4.8won 13 · lost 7
GPT-5.6 Solwon 16 · lost 9
Gemini 3.5 Flashwon 12 · lost 7
Muse Spark 1.2won 12 · lost 7
Claude Opus 4.6won 12 · lost 7
Muse Spark 1.1won 11 · lost 7
Gemini 3.7 Flashwon 12 · lost 8
Claude Sonnet 5.5won 15 · lost 12
Gemini 4 Argonwon 13 · lost 12
Claude Fable 5won 9 · lost 12
Claude Opus 5won 9 · lost 13
Claude Fable 5.1won 9 · lost 17
Claude Opus 5.5won 8 · lost 20

§ 3 · Sources

Where the numbers come from

12 publications, 41 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1474
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 57
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1586
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1569
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 60.3% (Codex)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 95%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 84.5LiveBench · Agentic 75.6LiveBench · Reasoning 92.7LiveBench · Coding 87.5LiveBench · Browser Use 91.3LiveBench · Data Analysis 83LiveBench · Research 90.6LiveBench · Design 80
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 82.2LiveBench 1.0 · Reasoning 92.7LiveBench 1.0 · Coding 80.4LiveBench 1.0 · Agentic Coding 57.3LiveBench 1.0 · Mathematics 96.8LiveBench 1.0 · Data Analysis 83LiveBench 1.0 · Language 89.4LiveBench 1.0 · Instruction Following 75.6
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 83.6%
Vals.ai ↗11 measuresread 2026-11-10
Vals · Legal Research Bench 39.42%Vals · Harvey Legal Agent Benchmark 7.08%Vals · Finance Agent 53.54%Vals · MedCode 48.49%Vals · MedScribe 87.91%Vals · BioMysteryBench 79.26%Vals · CyberBench 41.07%Vals · SRE Bench 56.87%Vals · Vibe Code Bench 89.59% (OpenHands)Vals · Code Migration 67.74%Vals · ProofBench 99%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 69.81%ParseBench · Tables 93.18%ParseBench · Charts 35.08%ParseBench · Content faithfulness 89.21%ParseBench · Semantic formatting 75.52%ParseBench · Visual grounding 56.04%
Vectara · Factual consistency 91.3%

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