Compare · ModelsLive · 2 picked · head to head
Claude Fable 5 vs Gemini 3.1 Pro Preview
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Fable 5 wins on 11/13 benchmarks
Claude Fable 5 wins 11 of 13 shared benchmarks. Leads in speed · agentic · arena.
Category leads
speed·Claude Fable 5agentic·Claude Fable 5arena·Claude Fable 5knowledge·Gemini 3.1 Pro Previewmath·Claude Fable 5reasoning·Claude Fable 5coding·Claude Fable 5
Hype vs Reality
Attention vs performance
Claude Fable 5
#12 by perf·no signal
Gemini 3.1 Pro Preview
#74 by perf·no signal
Best value
Gemini 3.1 Pro Preview
3.3x better value than Claude Fable 5
Claude Fable 5
2.5 pts/$
$30.00/M
Gemini 3.1 Pro Preview
8.1 pts/$
$7.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
13 benchmarks · 2 models
Claude Fable 5Gemini 3.1 Pro Preview
Artificial Analysis · Agentic Index
Claude Fable 5 leads by +31.4
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
Gemini 3.1 Pro Preview
21.4
Artificial Analysis · Coding Index
Claude Fable 5 leads by +7.7
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
Gemini 3.1 Pro Preview
68.8
Artificial Analysis · Quality Index
Claude Fable 5 leads by +13.4
Claude Fable 5
59.9
Gemini 3.1 Pro Preview
46.5
APEX-Agents
Claude Fable 5 leads by +11.5
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Fable 5
45.0
Gemini 3.1 Pro Preview
33.5
Chatbot Arena Elo · Coding
Claude Fable 5 leads by +207.0
Claude Fable 5
1653.9
Gemini 3.1 Pro Preview
1447.0
Chatbot Arena Elo · Overall
Claude Fable 5 leads by +21.2
Claude Fable 5
1507.6
Gemini 3.1 Pro Preview
1486.4
Chess Puzzles
Gemini 3.1 Pro Preview leads by +14.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Fable 5
41.0
Gemini 3.1 Pro Preview
55.0
FrontierMath-Tier-4-v2-Private
Claude Fable 5 leads by +61.0
Claude Fable 5
87.8
Gemini 3.1 Pro Preview
26.8
FrontierMath-Tiers-1-3-v2-Private
Claude Fable 5 leads by +27.4
Claude Fable 5
87.0
Gemini 3.1 Pro Preview
59.6
OTIS Mock AIME 2024-2025
Claude Fable 5 leads by +4.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Fable 5
99.7
Gemini 3.1 Pro Preview
95.6
SimpleBench
Claude Fable 5 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
78.3
Gemini 3.1 Pro Preview
75.5
SimpleQA Verified
Gemini 3.1 Pro Preview leads by +9.0
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Fable 5
68.3
Gemini 3.1 Pro Preview
77.3
WeirdML
Claude Fable 5 leads by +15.8
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Fable 5
87.8
Gemini 3.1 Pro Preview
72.1
Full benchmark table
| Benchmark | Claude Fable 5 | Gemini 3.1 Pro Preview |
|---|---|---|
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 | 21.4 |
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 | 68.8 |
Artificial Analysis · Quality Index | 59.9 | 46.5 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 45.0 | 33.5 |
Chatbot Arena Elo · Coding | 1653.9 | 1447.0 |
Chatbot Arena Elo · Overall | 1507.6 | 1486.4 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 41.0 | 55.0 |
FrontierMath-Tier-4-v2-Private | 87.8 | 26.8 |
FrontierMath-Tiers-1-3-v2-Private | 87.0 | 59.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 99.7 | 95.6 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 78.3 | 75.5 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 68.3 | 77.3 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 87.8 | 72.1 |
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 | |
| $2.00 | $12.00 | 1.0M tokens (~524 books) | $45.00 |