Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.7 vs GPT-6 Astra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Astra wins on 19/19 benchmarks
GPT-6 Astra wins 19 of 19 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·GPT-6 Astrareasoning·GPT-6 Astraknowledge·GPT-6 Astrageneral·GPT-6 Astracoding·GPT-6 Astramath·GPT-6 Astra
Hype vs Reality
Attention vs performance
Claude Opus 4.7
#119 by perf·#9 by attention
GPT-6 Astra
#9 by perf·#1 by attention
Best value
Claude Opus 4.7
1.3x better value than GPT-6 Astra
Claude Opus 4.7
3.4 pts/$
$15.00/M
GPT-6 Astra
2.6 pts/$
$30.00/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
19 benchmarks · 2 models
Claude Opus 4.7GPT-6 Astra
APEX-Agents
GPT-6 Astra leads by +15.5
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 4.7
49.2
GPT-6 Astra
64.7
ARC-AGI
GPT-6 Astra leads by +5.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 4.7
93.5
GPT-6 Astra
98.5
ARC-AGI-2
GPT-6 Astra leads by +19.2
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Opus 4.7
75.8
GPT-6 Astra
95.0
Chess Puzzles
GPT-6 Astra leads by +44.2
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.7
26.4
GPT-6 Astra
70.5
Dtbench
GPT-6 Astra leads by +4.5
Claude Opus 4.7
91.1
GPT-6 Astra
95.5
Ebr Bench
GPT-6 Astra leads by +57.1
Claude Opus 4.7
19.1
GPT-6 Astra
76.2
Frontiercode
GPT-6 Astra leads by +14.7
Claude Opus 4.7
38.5
GPT-6 Astra
53.3
FrontierMath-Tier-4-v2-Private
GPT-6 Astra leads by +65.9
Claude Opus 4.7
31.7
GPT-6 Astra
97.6
FrontierMath-Tiers-1-3-v2-Private
GPT-6 Astra leads by +23.5
Claude Opus 4.7
70.2
GPT-6 Astra
93.7
Furniture Assembly
GPT-6 Astra leads by +66.7
Claude Opus 4.7
4.8
GPT-6 Astra
71.4
GPQA diamond
GPT-6 Astra leads by +7.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 4.7
86.9
GPT-6 Astra
94.4
HLE
GPT-6 Astra leads by +19.5
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
Claude Opus 4.7
33.0
GPT-6 Astra
52.5
Lmca
GPT-6 Astra leads by +14.3
Claude Opus 4.7
61.4
GPT-6 Astra
75.7
Mirrorcode
GPT-6 Astra leads by +15.6
Claude Opus 4.7
31.1
GPT-6 Astra
46.7
Mystery Game Puzzles
GPT-6 Astra leads by +61.7
Claude Opus 4.7
20.7
GPT-6 Astra
82.4
OTIS Mock AIME 2024-2025
GPT-6 Astra leads by +2.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.7
97.8
GPT-6 Astra
100.0
Proofbench
GPT-6 Astra leads by +45.0
Claude Opus 4.7
54.0
GPT-6 Astra
99.0
SimpleQA Verified
GPT-6 Astra leads by +23.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 4.7
51.7
GPT-6 Astra
75.6
WeirdML
GPT-6 Astra leads by +17.1
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.7
76.4
GPT-6 Astra
93.6
Full benchmark table
| Benchmark | Claude Opus 4.7 | GPT-6 Astra |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 49.2 | 64.7 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 93.5 | 98.5 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 75.8 | 95.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 26.4 | 70.5 |
Dtbench | 91.1 | 95.5 |
Ebr Bench | 19.1 | 76.2 |
Frontiercode | 38.5 | 53.3 |
FrontierMath-Tier-4-v2-Private | 31.7 | 97.6 |
FrontierMath-Tiers-1-3-v2-Private | 70.2 | 93.7 |
Furniture Assembly | 4.8 | 71.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 86.9 | 94.4 |
HLE HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%. | 33.0 | 52.5 |
Lmca | 61.4 | 75.7 |
Mirrorcode | 31.1 | 46.7 |
Mystery Game Puzzles | 20.7 | 82.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 97.8 | 100.0 |
Proofbench | 54.0 | 99.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 51.7 | 75.6 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 76.4 | 93.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 | |
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 |