Compare · ModelsLive · 2 picked · head to head
GPT-6 Astra vs Claude Fable 5
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Astra wins on 18/22 benchmarks
GPT-6 Astra wins 18 of 22 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
speed·Claude Fable 5agentic·GPT-6 Astrareasoning·GPT-6 Astraknowledge·GPT-6 Astracoding·GPT-6 Astrageneral·GPT-6 Astramath·GPT-6 Astra
Hype vs Reality
Attention vs performance
GPT-6 Astra
#9 by perf·#1 by attention
Claude Fable 5
#27 by perf·#12 by attention
Best value
GPT-6 Astra
1.1x better value than Claude Fable 5
GPT-6 Astra
2.6 pts/$
$30.00/M
Claude Fable 5
2.3 pts/$
$30.00/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Anthropic
$965.0B·Tier 1
Head to head
22 benchmarks · 2 models
GPT-6 AstraClaude Fable 5
Artificial Analysis · Quality Index
Claude Fable 5 leads by +7.2
GPT-6 Astra
52.7
Claude Fable 5
59.9
APEX-Agents
GPT-6 Astra 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.
GPT-6 Astra
64.7
Claude Fable 5
63.6
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-6 Astra
98.5
Claude Fable 5
98.5
ARC-AGI-2
GPT-6 Astra leads by +5.8
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-6 Astra
95.0
Claude Fable 5
89.2
Chess Puzzles
GPT-6 Astra leads by +32.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GPT-6 Astra
70.5
Claude Fable 5
37.9
Deepswe
GPT-6 Astra leads by +4.2
GPT-6 Astra
74.1
Claude Fable 5
69.9
Dtbench
Claude Fable 5 leads by +1.8
GPT-6 Astra
95.5
Claude Fable 5
97.3
Ebr Bench
GPT-6 Astra leads by +36.7
GPT-6 Astra
76.2
Claude Fable 5
39.5
Frontiercode
Claude Fable 5 leads by +0.2
GPT-6 Astra
53.3
Claude Fable 5
53.5
FrontierMath-Tier-4-v2-Private
GPT-6 Astra leads by +7.4
GPT-6 Astra
97.6
Claude Fable 5
90.2
FrontierMath-Tiers-1-3-v2-Private
GPT-6 Astra leads by +6.7
GPT-6 Astra
93.7
Claude Fable 5
87.0
Frontierswe
GPT-6 Astra leads by +18.6
GPT-6 Astra
65.5
Claude Fable 5
47.0
Furniture Assembly
GPT-6 Astra leads by +63.1
GPT-6 Astra
71.4
Claude Fable 5
8.3
GPQA diamond
GPT-6 Astra leads by +13.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-6 Astra
94.4
Claude Fable 5
81.1
Lmca
GPT-6 Astra leads by +3.8
GPT-6 Astra
75.7
Claude Fable 5
71.9
Mirrorcode
Claude Fable 5 leads by +17.2
GPT-6 Astra
46.7
Claude Fable 5
63.9
Mystery Game Puzzles
GPT-6 Astra leads by +35.3
GPT-6 Astra
82.4
Claude Fable 5
47.1
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-6 Astra
100.0
Claude Fable 5
100.0
Proofbench
GPT-6 Astra leads by +4.0
GPT-6 Astra
99.0
Claude Fable 5
95.0
Remote Labor Index
GPT-6 Astra leads by +4.7
GPT-6 Astra
20.8
Claude Fable 5
16.1
SimpleQA Verified
GPT-6 Astra leads by +4.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-6 Astra
75.6
Claude Fable 5
70.7
WeirdML
GPT-6 Astra leads by +1.6
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-6 Astra
93.6
Claude Fable 5
91.9
Full benchmark table
| Benchmark | GPT-6 Astra | Claude Fable 5 |
|---|---|---|
Artificial Analysis · Quality Index | 52.7 | 59.9 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 64.7 | 63.6 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 98.5 | 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. | 95.0 | 89.2 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 70.5 | 37.9 |
Deepswe | 74.1 | 69.9 |
Dtbench | 95.5 | 97.3 |
Ebr Bench | 76.2 | 39.5 |
Frontiercode | 53.3 | 53.5 |
FrontierMath-Tier-4-v2-Private | 97.6 | 90.2 |
FrontierMath-Tiers-1-3-v2-Private | 93.7 | 87.0 |
Frontierswe | 65.5 | 47.0 |
Furniture Assembly | 71.4 | 8.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 94.4 | 81.1 |
Lmca | 75.7 | 71.9 |
Mirrorcode | 46.7 | 63.9 |
Mystery Game Puzzles | 82.4 | 47.1 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 100.0 | 100.0 |
Proofbench | 99.0 | 95.0 |
Remote Labor Index | 20.8 | 16.1 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 75.6 | 70.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 93.6 | 91.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 | |
| $10.00 | $50.00 | 1.0M tokens (~500 books) | $200.00 |