Compare · ModelsLive · 3 picked · head to head
Claude Fable 5 vs Claude Opus 4.6 vs Claude Opus 4.6 (Fast)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Fable 5 wins on 23/32 benchmarks
Claude Fable 5 wins 23 of 32 shared benchmarks. Leads in arena · speed · reasoning.
Category leads
arena·Claude Fable 5speed·Claude Fable 5agentic·Claude Opus 4.6reasoning·Claude Fable 5knowledge·Claude Opus 4.6general·Claude Fable 5coding·Claude Fable 5math·Claude Fable 5safety·Claude Opus 4.6
Hype vs Reality
Attention vs performance
Claude Fable 5
#27 by perf·#12 by attention
Claude Opus 4.6
#136 by perf·#9 by attention
Claude Opus 4.6 (Fast)
#170 by perf·#9 by attention
Best value
Claude Opus 4.6
1.4x better value than Claude Fable 5
Claude Fable 5
2.3 pts/$
$30.00/M
Claude Opus 4.6
3.2 pts/$
$15.00/M
Claude Opus 4.6 (Fast)
0.5 pts/$
$90.00/M
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
Anthropic
$965.0B·Tier 1
Anthropic
$965.0B·Tier 1
Head to head
32 benchmarks · 3 models
Claude Fable 5Claude Opus 4.6Claude Opus 4.6 (Fast)
Chatbot Arena Elo · Coding
Claude Fable 5 leads by +111.7
Claude Fable 5
1653.9
Claude Opus 4.6
1537.0
Claude Opus 4.6 (Fast)
1542.2
Chatbot Arena Elo · Overall
Claude Fable 5 leads by +3.9
Claude Fable 5
1507.6
Claude Opus 4.6
1497.3
Claude Opus 4.6 (Fast)
1503.7
Artificial Analysis · Agentic Index
Claude Opus 4.6 (Fast) leads by +14.8
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 4.6 (Fast)
67.6
Artificial Analysis · Coding Index
Claude Fable 5 leads by +28.4
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 4.6 (Fast)
48.1
Artificial Analysis · Quality Index
Claude Fable 5 leads by +6.9
Claude Fable 5
59.9
Claude Opus 4.6 (Fast)
53.0
APEX-Agents
Claude Fable 5 leads by +17.3
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
Claude Opus 4.6
46.3
ARC-AGI
Claude Fable 5 leads by +4.5
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
Claude Opus 4.6
94.0
ARC-AGI-2
Claude Fable 5 leads by +20.0
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
Claude Opus 4.6
69.2
Chess Puzzles
Claude Fable 5 leads by +25.3
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Fable 5
37.9
Claude Opus 4.6
12.7
Dtbench
Claude Fable 5 leads by +12.0
Claude Fable 5
97.3
Claude Opus 4.6
85.3
Ebr Bench
Claude Fable 5 leads by +26.8
Claude Fable 5
39.5
Claude Opus 4.6
12.7
Frontiercode
Claude Fable 5 leads by +26.8
Claude Fable 5
53.5
Claude Opus 4.6
26.6
FrontierMath-Tier-4-v2-Private
Claude Fable 5 leads by +63.4
Claude Fable 5
90.2
Claude Opus 4.6
26.8
FrontierMath-Tiers-1-3-v2-Private
Claude Fable 5 leads by +21.1
Claude Fable 5
87.0
Claude Opus 4.6
66.0
Furniture Assembly
Claude Fable 5 leads by +8.3
Claude Fable 5
8.3
Claude Opus 4.6
0.0
GPQA diamond
Claude Opus 4.6 leads by +6.2
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
81.1
Claude Opus 4.6
87.4
Lmca
Claude Fable 5 leads by +6.3
Claude Fable 5
71.9
Claude Opus 4.6
65.6
Mystery Game Puzzles
Claude Fable 5 leads by +29.7
Claude Fable 5
47.1
Claude Opus 4.6
17.4
OTIS Mock AIME 2024-2025
Claude Fable 5 leads by +5.6
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Fable 5
100.0
Claude Opus 4.6
94.4
PostTrainBench
Claude Fable 5 leads by +17.0
Claude Fable 5
41.8
Claude Opus 4.6
24.8
Proofbench
Claude Fable 5 leads by +45.0
Claude Fable 5
95.0
Claude Opus 4.6
50.0
Remote Labor Index
Claude Fable 5 leads by +11.9
Claude Fable 5
16.1
Claude Opus 4.6
4.2
MASK
Claude Opus 4.6
96.3
Claude Opus 4.6 (Fast)
96.3
Professional Reasoning · Finance
Claude Opus 4.6
53.3
Claude Opus 4.6 (Fast)
53.3
Professional Reasoning · Legal
Claude Opus 4.6
52.3
Claude Opus 4.6 (Fast)
52.3
Remote Labor Index (RLI)
Claude Opus 4.6
4.2
Claude Opus 4.6 (Fast)
4.2
SWE Atlas · Codebase QnA
Claude Opus 4.6
33.3
Claude Opus 4.6 (Fast)
33.3
SWE Atlas · Test Writing
Claude Opus 4.6
36.7
Claude Opus 4.6 (Fast)
36.7
VisualToolBench (VTB)
Claude Opus 4.6
27.5
Claude Opus 4.6 (Fast)
27.5
SimpleBench
Claude Fable 5 leads by +17.2
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Fable 5
78.3
Claude Opus 4.6
61.1
SimpleQA Verified
Claude Fable 5 leads by +23.7
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
Claude Opus 4.6
47.0
WeirdML
Claude Fable 5 leads by +14.0
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Fable 5
91.9
Claude Opus 4.6
78.0
Full benchmark table
| Benchmark | Claude Fable 5 | Claude Opus 4.6 | Claude Opus 4.6 (Fast) |
|---|---|---|---|
Chatbot Arena Elo · Coding | 1653.9 | 1537.0 | 1542.2 |
Chatbot Arena Elo · Overall | 1507.6 | 1497.3 | 1503.7 |
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?" | 52.8 | — | 67.6 |
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. | 76.5 | — | 48.1 |
Artificial Analysis · Quality Index | 59.9 | — | 53.0 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 63.6 | 46.3 | — |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 98.5 | 94.0 | — |
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. | 89.2 | 69.2 | — |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 37.9 | 12.7 | — |
Dtbench | 97.3 | 85.3 | — |
Ebr Bench | 39.5 | 12.7 | — |
Frontiercode | 53.5 | 26.6 | — |
FrontierMath-Tier-4-v2-Private | 90.2 | 26.8 | — |
FrontierMath-Tiers-1-3-v2-Private | 87.0 | 66.0 | — |
Furniture Assembly | 8.3 | 0.0 | — |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 81.1 | 87.4 | — |
Lmca | 71.9 | 65.6 | — |
Mystery Game Puzzles | 47.1 | 17.4 | — |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 100.0 | 94.4 | — |
PostTrainBench | 41.8 | 24.8 | — |
Proofbench | 95.0 | 50.0 | — |
Remote Labor Index | 16.1 | 4.2 | — |
MASK | — | 96.3 | 96.3 |
Professional Reasoning · Finance | — | 53.3 | 53.3 |
Professional Reasoning · Legal | — | 52.3 | 52.3 |
Remote Labor Index (RLI) | — | 4.2 | 4.2 |
SWE Atlas · Codebase QnA | — | 33.3 | 33.3 |
SWE Atlas · Test Writing | — | 36.7 | 36.7 |
VisualToolBench (VTB) | — | 27.5 | 27.5 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 78.3 | 61.1 | — |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 70.7 | 47.0 | — |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 91.9 | 78.0 | — |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $50.00 | 1.0M tokens (~500 books) | $200.00 | |
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 | |
| $30.00 | $150.00 | 1.0M tokens (~500 books) | $600.00 |