Compare · ModelsLive · 3 picked · head to head

Claude Fable 5 vs Claude Opus 4.8 (Fast) vs GPT-5.5

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

Claude Fable 5 wins 24 of 28 shared benchmarks. Leads in speed · agentic · reasoning.

Category leads
speed·Claude Fable 5agentic·Claude Fable 5reasoning·Claude Fable 5arena·Claude Fable 5knowledge·GPT-5.5coding·Claude Fable 5general·Claude Fable 5math·Claude Fable 5
Hype vs Reality
Claude Fable 5
#30 by perf·#5 by attention
DESERVED
Claude Opus 4.8 (Fast)
no bench·#6 by attention
QUIET
GPT-5.5
#64 by perf·#9 by attention
DESERVED
Best value
1.5x better value than Claude Fable 5
Claude Fable 5
2.3 pts/$
$30.00/M
Claude Opus 4.8 (Fast)
n/a
$30.00/M
GPT-5.5
3.3 pts/$
$17.50/M
Vendor risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
OpenAI logo
OpenAI
$840.0B·Tier 1
Medium risk
Head to head
Claude Fable 5Claude Opus 4.8 (Fast)GPT-5.5
Artificial Analysis · Agentic Index
Claude Fable 5 leads by +5.6
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Claude Fable 5
52.8
Claude Opus 4.8 (Fast)
47.2
GPT-5.5
44.9
Artificial Analysis · Coding Index
Claude Fable 5 leads by +1.6
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Claude Fable 5
76.5
Claude Opus 4.8 (Fast)
74.3
GPT-5.5
74.9
Artificial Analysis · Quality Index
Claude Fable 5 leads by +4.2
Claude Fable 5
59.9
Claude Opus 4.8 (Fast)
55.7
GPT-5.5
54.8
APEX-Agents
Claude Fable 5 leads by +8.5
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Fable 5
63.6
GPT-5.5
55.1
ARC-AGI
Claude Fable 5 leads by +3.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Fable 5
98.5
GPT-5.5
95.0
ARC-AGI-2
Claude Fable 5 leads by +4.2
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Fable 5
89.2
GPT-5.5
85.0
Chatbot Arena Elo · Overall
Claude Fable 5 leads by +30.8
Claude Fable 5
1507.6
GPT-5.5
1476.8
Chess Puzzles
GPT-5.5 leads by +16.8
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Fable 5
44.2
GPT-5.5
61.1
Deepswe
Claude Fable 5 leads by +2.9
Claude Fable 5
69.9
GPT-5.5
67.0
Dtbench
Claude Fable 5 leads by +4.0
Claude Fable 5
97.3
GPT-5.5
93.3
Ebr Bench
Claude Fable 5 leads by +5.2
Claude Fable 5
39.5
GPT-5.5
34.3
Frontiercode
Claude Fable 5 leads by +10.5
Claude Fable 5
53.5
GPT-5.5
43.0
FrontierMath-Tier-4-v2-Private
Claude Fable 5 leads by +17.7
Claude Fable 5
90.2
GPT-5.5
72.5
FrontierMath-Tiers-1-3-v2-Private
Claude Fable 5 leads by +1.8
Claude Fable 5
91.6
GPT-5.5
89.8
Furniture Assembly
GPT-5.5 leads by +11.9
Claude Fable 5
8.3
GPT-5.5
20.2
GPQA diamond
GPT-5.5 leads by +11.3
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
84.5
GPT-5.5
95.8
GSO-Bench
Claude Fable 5 leads by +38.2
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
Claude Fable 5
78.4
GPT-5.5
40.2
Lmca
Claude Fable 5 leads by +8.1
Claude Fable 5
71.9
GPT-5.5
63.9
Mirrorcode
Claude Fable 5 leads by +46.7
Claude Fable 5
70.0
GPT-5.5
23.3
Mystery Game Puzzles
GPT-5.5 leads by +4.4
Claude Fable 5
47.1
GPT-5.5
51.5
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Fable 5
100.0
GPT-5.5
100.0
PostTrainBench
Claude Fable 5 leads by +13.4
Claude Fable 5
37.3
GPT-5.5
23.9
Proofbench
Claude Fable 5 leads by +45.0
Claude Fable 5
95.0
GPT-5.5
50.0
Remote Labor Index
Claude Fable 5 leads by +9.9
Claude Fable 5
16.1
GPT-5.5
6.3
SimpleBench
Claude Fable 5 leads by +15.5
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Fable 5
78.3
GPT-5.5
62.8
SimpleQA Verified
Claude Fable 5 leads by +7.7
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Fable 5
70.7
GPT-5.5
63.0
Surface Evolver Bench
Claude Fable 5 leads by +6.9
Claude Fable 5
95.0
GPT-5.5
88.1
WeirdML
Claude Fable 5 leads by +7.0
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Fable 5
91.9
GPT-5.5
84.9
Full benchmark table
BenchmarkClaude Fable 5Claude Opus 4.8 (Fast)GPT-5.5
Artificial Analysis · Agentic Index
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
52.847.244.9
Artificial Analysis · Coding Index
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
76.574.374.9
Artificial Analysis · Quality Index
59.955.754.8
APEX-Agents
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
63.6n/a55.1
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
98.5n/a95.0
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.
89.2n/a85.0
Chatbot Arena Elo · Overall
1507.6n/a1476.8
Chess Puzzles
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
44.2n/a61.1
Deepswe
69.9n/a67.0
Dtbench
97.3n/a93.3
Ebr Bench
39.5n/a34.3
Frontiercode
53.5n/a43.0
FrontierMath-Tier-4-v2-Private
90.2n/a72.5
FrontierMath-Tiers-1-3-v2-Private
91.6n/a89.8
Furniture Assembly
8.3n/a20.2
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
84.5n/a95.8
GSO-Bench
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
78.4n/a40.2
Lmca
71.9n/a63.9
Mirrorcode
70.0n/a23.3
Mystery Game Puzzles
47.1n/a51.5
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
100.0n/a100.0
PostTrainBench
37.3n/a23.9
Proofbench
95.0n/a50.0
Remote Labor Index
16.1n/a6.3
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
78.3n/a62.8
SimpleQA Verified
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
70.7n/a63.0
Surface Evolver Bench
95.0n/a88.1
WeirdML
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
91.9n/a84.9
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Anthropic logoClaude Fable 5$10.00$50.001.0M tokens (~500 books)$200.00
Anthropic logoClaude Opus 4.8 (Fast)$10.00$50.001.0M tokens (~500 books)$200.00
OpenAI logoGPT-5.5$5.00$30.001.1M tokens (~525 books)$112.50