Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.7 vs GPT-5.6 Luna
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Opus 4.7 wins on 9/17 benchmarks
Claude Opus 4.7 wins 9 of 17 shared benchmarks. Leads in agentic · reasoning · general.
Category leads
agentic·Claude Opus 4.7reasoning·Claude Opus 4.7knowledge·GPT-5.6 Lunageneral·Claude Opus 4.7coding·GPT-5.6 Lunamath·GPT-5.6 Luna
Hype vs Reality
Attention vs performance
Claude Opus 4.7
#120 by perf·#9 by attention
GPT-5.6 Luna
#65 by perf·#10 by attention
Best value
GPT-5.6 Luna
24.1x better value than Claude Opus 4.7
Claude Opus 4.7
3.4 pts/$
$15.00/M
GPT-5.6 Luna
81.7 pts/$
$0.70/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
17 benchmarks · 2 models
Claude Opus 4.7GPT-5.6 Luna
APEX-Agents
Claude Opus 4.7 leads by +6.2
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-5.6 Luna
43.0
ARC-AGI
Claude Opus 4.7 leads by +5.5
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-5.6 Luna
88.0
ARC-AGI-2
Claude Opus 4.7 leads by +16.3
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-5.6 Luna
59.5
Chess Puzzles
GPT-5.6 Luna leads by +2.1
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.7
37.9
GPT-5.6 Luna
40.0
Dtbench
Claude Opus 4.7 leads by +9.3
Claude Opus 4.7
91.1
GPT-5.6 Luna
81.8
Frontiercode
GPT-5.6 Luna leads by +1.3
Claude Opus 4.7
38.5
GPT-5.6 Luna
39.8
FrontierMath-Tier-4-v2-Private
GPT-5.6 Luna leads by +29.3
Claude Opus 4.7
31.7
GPT-5.6 Luna
61.0
FrontierMath-Tiers-1-3-v2-Private
GPT-5.6 Luna leads by +11.9
Claude Opus 4.7
70.2
GPT-5.6 Luna
82.1
Furniture Assembly
GPT-5.6 Luna leads by +13.1
Claude Opus 4.7
4.8
GPT-5.6 Luna
17.9
GPQA diamond
GPT-5.6 Luna leads by +1.9
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-5.6 Luna
88.8
Lmca
Claude Opus 4.7 leads by +4.3
Claude Opus 4.7
61.4
GPT-5.6 Luna
57.1
Mystery Game Puzzles
Claude Opus 4.7 leads by +7.7
Claude Opus 4.7
20.7
GPT-5.6 Luna
13.0
OTIS Mock AIME 2024-2025
GPT-5.6 Luna leads by +0.5
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.7
97.8
GPT-5.6 Luna
98.3
Proofbench
GPT-5.6 Luna leads by +6.0
Claude Opus 4.7
54.0
GPT-5.6 Luna
60.0
SimpleBench
Claude Opus 4.7 leads by +17.9
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 4.7
54.0
GPT-5.6 Luna
36.2
SimpleQA Verified
Claude Opus 4.7 leads by +10.7
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-5.6 Luna
41.0
WeirdML
Claude Opus 4.7 leads by +15.6
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-5.6 Luna
60.9
Full benchmark table
| Benchmark | Claude Opus 4.7 | GPT-5.6 Luna |
|---|---|---|
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 | 43.0 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 93.5 | 88.0 |
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 | 59.5 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 37.9 | 40.0 |
Dtbench | 91.1 | 81.8 |
Frontiercode | 38.5 | 39.8 |
FrontierMath-Tier-4-v2-Private | 31.7 | 61.0 |
FrontierMath-Tiers-1-3-v2-Private | 70.2 | 82.1 |
Furniture Assembly | 4.8 | 17.9 |
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 | 88.8 |
Lmca | 61.4 | 57.1 |
Mystery Game Puzzles | 20.7 | 13.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 97.8 | 98.3 |
Proofbench | 54.0 | 60.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 54.0 | 36.2 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 51.7 | 41.0 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 76.4 | 60.9 |
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 | |
| $0.20 | $1.20 | 1.1M tokens (~525 books) | $4.50 |
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