Compare · ModelsLive · 3 picked · head to head
Claude Fable 5.2 vs Gemini 4 Carbon vs GPT-6 Astra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Fable 5.2 wins on 14/19 benchmarks
Claude Fable 5.2 wins 14 of 19 shared benchmarks. Leads in reasoning · knowledge · general.
Category leads
agentic·Gemini 4 Carbonreasoning·Claude Fable 5.2knowledge·Claude Fable 5.2general·Claude Fable 5.2math·Claude Fable 5.2coding·Claude Fable 5.2
Hype vs Reality
Attention vs performance
Claude Fable 5.2
#2 by perf·#5 by attention
Gemini 4 Carbon
#1 by perf·#8 by attention
GPT-6 Astra
#9 by perf·#2 by attention
Best value
Gemini 4 Carbon
4.0x better value than Claude Fable 5.2
Claude Fable 5.2
3.5 pts/$
$24.00/M
Gemini 4 Carbon
14.3 pts/$
$6.00/M
GPT-6 Astra
2.5 pts/$
$30.00/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
Google DeepMind
$3.61T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
19 benchmarks · 3 models
Claude Fable 5.2Gemini 4 CarbonGPT-6 Astra
APEX-Agents
Gemini 4 Carbon leads by +4.1
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Fable 5.2
80.1
Gemini 4 Carbon
84.2
GPT-6 Astra
64.7
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Fable 5.2
98.5
Gemini 4 Carbon
98.5
GPT-6 Astra
98.5
ARC-AGI-2
GPT-6 Astra leads by +0.8
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Fable 5.2
93.8
Gemini 4 Carbon
94.2
GPT-6 Astra
95.0
Chess Puzzles
Claude Fable 5.2 leads by +1.1
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Fable 5.2
77.9
Gemini 4 Carbon
76.8
GPT-6 Astra
74.8
Ebr Bench
Claude Fable 5.2 leads by +2.9
Claude Fable 5.2
90.5
Gemini 4 Carbon
87.6
GPT-6 Astra
76.2
FrontierMath-Tier-4-v2-Private
Claude Fable 5.2 leads by +2.4
Claude Fable 5.2
100.0
Gemini 4 Carbon
95.1
GPT-6 Astra
97.6
FrontierMath-Tiers-1-3-v2-Private
Claude Fable 5.2 leads by +1.4
Claude Fable 5.2
100.0
Gemini 4 Carbon
95.3
GPT-6 Astra
98.6
Frontierswe
Claude Fable 5.2 leads by +4.4
Claude Fable 5.2
69.9
Gemini 4 Carbon
61.2
GPT-6 Astra
65.5
Furniture Assembly
Claude Fable 5.2 leads by +14.3
Claude Fable 5.2
85.7
Gemini 4 Carbon
67.9
GPT-6 Astra
71.4
GPQA diamond
Gemini 4 Carbon leads by +1.0
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Fable 5.2
95.7
Gemini 4 Carbon
99.3
GPT-6 Astra
98.3
Mystery Game Puzzles
Claude Fable 5.2 leads by +6.6
Claude Fable 5.2
89.0
Gemini 4 Carbon
70.3
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 Fable 5.2
99.7
Gemini 4 Carbon
100.0
GPT-6 Astra
100.0
SimpleBench
Claude Fable 5.2 leads by +2.8
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Fable 5.2
93.9
Gemini 4 Carbon
91.1
GPT-6 Astra
83.8
SimpleQA Verified
Claude Fable 5.2 leads by +16.3
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Fable 5.2
94.0
Gemini 4 Carbon
77.7
GPT-6 Astra
75.6
Dtbench
Claude Fable 5.2 leads by +3.1
Claude Fable 5.2
98.7
GPT-6 Astra
95.5
Lmca
Claude Fable 5.2 leads by +7.3
Claude Fable 5.2
83.1
GPT-6 Astra
75.7
Proofbench
Claude Fable 5.2 leads by +1.0
Claude Fable 5.2
100.0
GPT-6 Astra
99.0
Remote Labor Index
Claude Fable 5.2 leads by +20.5
Claude Fable 5.2
41.3
GPT-6 Astra
20.8
SpireClimb
GPT-6 Astra leads by +14.4
Claude Fable 5.2
19.6
GPT-6 Astra
34.0
Full benchmark table
| Benchmark | Claude Fable 5.2 | Gemini 4 Carbon | 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. | 80.1 | 84.2 | 64.7 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 98.5 | 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. | 93.8 | 94.2 | 95.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 77.9 | 76.8 | 74.8 |
Ebr Bench | 90.5 | 87.6 | 76.2 |
FrontierMath-Tier-4-v2-Private | 100.0 | 95.1 | 97.6 |
FrontierMath-Tiers-1-3-v2-Private | 100.0 | 95.3 | 98.6 |
Frontierswe | 69.9 | 61.2 | 65.5 |
Furniture Assembly | 85.7 | 67.9 | 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. | 95.7 | 99.3 | 98.3 |
Mystery Game Puzzles | 89.0 | 70.3 | 82.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 99.7 | 100.0 | 100.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 93.9 | 91.1 | 83.8 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 94.0 | 77.7 | 75.6 |
Dtbench | 98.7 | n/a | 95.5 |
Lmca | 83.1 | n/a | 75.7 |
Proofbench | 100.0 | n/a | 99.0 |
Remote Labor Index | 41.3 | n/a | 20.8 |
SpireClimb | 19.6 | n/a | 34.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $8.00 | $40.00 | 1.0M tokens (~500 books) | $160.00 | |
| $2.00 | $10.00 | 1.0M tokens (~524 books) | $40.00 | |
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 |
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