Compare · ModelsLive · 3 picked · head to head
Claude Opus 5 vs GPT-5.6 Sol vs GPT-6 Astra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Astra wins on 15/24 benchmarks
GPT-6 Astra wins 15 of 24 shared benchmarks. Leads in reasoning · knowledge · coding.
Category leads
agentic·Claude Opus 5reasoning·GPT-6 Astraknowledge·GPT-6 Astracoding·GPT-6 Astrageneral·Claude Opus 5math·GPT-6 Astra
Hype vs Reality
Attention vs performance
Claude Opus 5
#21 by perf·#9 by attention
GPT-5.6 Sol
#30 by perf·#4 by attention
GPT-6 Astra
#9 by perf·#1 by attention
Best value
GPT-5.6 Sol
2.4x better value than Claude Opus 5
Claude Opus 5
4.6 pts/$
$15.00/M
GPT-5.6 Sol
11.1 pts/$
$6.00/M
GPT-6 Astra
2.6 pts/$
$30.00/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
24 benchmarks · 3 models
Claude Opus 5GPT-5.6 SolGPT-6 Astra
APEX-Agents
Claude Opus 5 leads by +1.1
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 5
65.8
GPT-5.6 Sol
51.4
GPT-6 Astra
64.7
ARC-AGI
GPT-6 Astra leads by +1.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 5
97.5
GPT-5.6 Sol
97.5
GPT-6 Astra
98.5
ARC-AGI-2
GPT-6 Astra leads by +2.5
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 5
90.4
GPT-5.6 Sol
92.5
GPT-6 Astra
95.0
Balrog
GPT-6 Astra leads by +4.9
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Claude Opus 5
63.4
GPT-5.6 Sol
60.0
GPT-6 Astra
68.3
Chess Puzzles
GPT-6 Astra leads by +8.4
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 5
39.0
GPT-5.6 Sol
62.1
GPT-6 Astra
70.5
Deepswe
GPT-6 Astra leads by +0.5
Claude Opus 5
73.7
GPT-5.6 Sol
72.7
GPT-6 Astra
74.1
Dtbench
Claude Opus 5 leads by +0.9
Claude Opus 5
96.5
GPT-5.6 Sol
93.3
GPT-6 Astra
95.5
Ebr Bench
GPT-6 Astra leads by +30.5
Claude Opus 5
45.7
GPT-5.6 Sol
44.8
GPT-6 Astra
76.2
Frontiercode
Claude Opus 5 leads by +0.1
Claude Opus 5
53.4
GPT-5.6 Sol
47.5
GPT-6 Astra
53.3
FrontierMath-Tier-4-v2-Private
GPT-6 Astra leads by +14.7
Claude Opus 5
73.2
GPT-5.6 Sol
82.9
GPT-6 Astra
97.6
FrontierMath-Tiers-1-3-v2-Private
GPT-6 Astra leads by +4.6
Claude Opus 5
85.6
GPT-5.6 Sol
89.1
GPT-6 Astra
93.7
Frontierswe
GPT-6 Astra leads by +13.5
Claude Opus 5
52.0
GPT-5.6 Sol
32.2
GPT-6 Astra
65.5
Furniture Assembly
GPT-6 Astra leads by +27.4
Claude Opus 5
44.0
GPT-5.6 Sol
38.1
GPT-6 Astra
71.4
GPQA diamond
GPT-6 Astra leads by +2.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 5
91.8
GPT-5.6 Sol
91.3
GPT-6 Astra
94.4
Lmca
Claude Opus 5 leads by +0.1
Claude Opus 5
75.8
GPT-5.6 Sol
69.7
GPT-6 Astra
75.7
Mystery Game Puzzles
GPT-6 Astra leads by +27.5
Claude Opus 5
54.8
GPT-5.6 Sol
53.7
GPT-6 Astra
82.4
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 5
98.9
GPT-5.6 Sol
100.0
GPT-6 Astra
100.0
Proofbench
Claude Opus 5
99.0
GPT-5.6 Sol
83.0
GPT-6 Astra
99.0
SimpleQA Verified
GPT-6 Astra leads by +5.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 5
59.9
GPT-5.6 Sol
69.7
GPT-6 Astra
75.6
WeirdML
GPT-6 Astra leads by +1.8
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 5
91.8
GPT-5.6 Sol
89.4
GPT-6 Astra
93.6
Mirrorcode
GPT-6 Astra leads by +26.7
GPT-5.6 Sol
20.0
GPT-6 Astra
46.7
Osworld 2 0
Claude Opus 5 leads by +4.1
Claude Opus 5
31.4
GPT-5.6 Sol
27.3
PostTrainBench
GPT-5.6 Sol leads by +1.2
Claude Opus 5
35.0
GPT-5.6 Sol
36.2
SimpleBench
Claude Opus 5 leads by +10.7
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 5
76.7
GPT-5.6 Sol
66.0
Full benchmark table
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | 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. | 65.8 | 51.4 | 64.7 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 97.5 | 97.5 | 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. | 90.4 | 92.5 | 95.0 |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 63.4 | 60.0 | 68.3 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 39.0 | 62.1 | 70.5 |
Deepswe | 73.7 | 72.7 | 74.1 |
Dtbench | 96.5 | 93.3 | 95.5 |
Ebr Bench | 45.7 | 44.8 | 76.2 |
Frontiercode | 53.4 | 47.5 | 53.3 |
FrontierMath-Tier-4-v2-Private | 73.2 | 82.9 | 97.6 |
FrontierMath-Tiers-1-3-v2-Private | 85.6 | 89.1 | 93.7 |
Frontierswe | 52.0 | 32.2 | 65.5 |
Furniture Assembly | 44.0 | 38.1 | 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. | 91.8 | 91.3 | 94.4 |
Lmca | 75.8 | 69.7 | 75.7 |
Mystery Game Puzzles | 54.8 | 53.7 | 82.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 98.9 | 100.0 | 100.0 |
Proofbench | 99.0 | 83.0 | 99.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 59.9 | 69.7 | 75.6 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 91.8 | 89.4 | 93.6 |
Mirrorcode | — | 20.0 | 46.7 |
Osworld 2 0 | 31.4 | 27.3 | — |
PostTrainBench | 35.0 | 36.2 | — |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 76.7 | 66.0 | — |
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 | |
| $2.00 | $10.00 | 1.1M tokens (~525 books) | $40.00 | |
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 |