Compare · ModelsLive · 3 picked · head to head
Gemini 3.5 Flash vs Claude Fable 5 vs Claude Opus 4.8
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Fable 5 wins on 10/18 benchmarks
Claude Fable 5 wins 10 of 18 shared benchmarks. Leads in arena · math · coding.
Category leads
agentic·Gemini 3.5 Flasharena·Claude Fable 5knowledge·Gemini 3.5 Flashmath·Claude Fable 5reasoning·Gemini 3.5 Flashcoding·Claude Fable 5speed·Claude Fable 5
Hype vs Reality
Attention vs performance
Gemini 3.5 Flash
#44 by perf·no signal
Claude Fable 5
#12 by perf·no signal
Claude Opus 4.8
#47 by perf·no signal
Best value
Gemini 3.5 Flash
2.9x better value than Claude Opus 4.8
Gemini 3.5 Flash
11.9 pts/$
$5.25/M
Claude Fable 5
2.5 pts/$
$30.00/M
Claude Opus 4.8
4.1 pts/$
$15.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
Anthropic
$380.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
18 benchmarks · 3 models
Gemini 3.5 FlashClaude Fable 5Claude Opus 4.8
APEX-Agents
Gemini 3.5 Flash leads by +4.6
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3.5 Flash
49.6
Claude Fable 5
45.0
Claude Opus 4.8
42.5
Chatbot Arena Elo · Coding
Claude Fable 5 leads by +111.7
Gemini 3.5 Flash
1505.5
Claude Fable 5
1653.9
Claude Opus 4.8
1542.3
Chatbot Arena Elo · Overall
Claude Fable 5 leads by +29.7
Gemini 3.5 Flash
1476.3
Claude Fable 5
1507.6
Claude Opus 4.8
1477.8
Chess Puzzles
Gemini 3.5 Flash leads by +9.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3.5 Flash
50.0
Claude Fable 5
41.0
Claude Opus 4.8
34.0
FrontierMath-Tier-4-v2-Private
Claude Fable 5 leads by +31.7
Gemini 3.5 Flash
26.8
Claude Fable 5
87.8
Claude Opus 4.8
56.1
FrontierMath-Tiers-1-3-v2-Private
Claude Fable 5 leads by +7.0
Gemini 3.5 Flash
62.8
Claude Fable 5
87.0
Claude Opus 4.8
80.0
OTIS Mock AIME 2024-2025
Claude Fable 5 leads by +1.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3.5 Flash
95.5
Claude Fable 5
99.7
Claude Opus 4.8
98.3
SimpleBench
Claude Fable 5 leads by +6.2
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 3.5 Flash
72.0
Claude Fable 5
78.3
Claude Opus 4.8
57.8
SimpleQA Verified
Gemini 3.5 Flash leads by +0.1
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 3.5 Flash
68.4
Claude Fable 5
68.3
Claude Opus 4.8
39.5
WeirdML
Claude Fable 5 leads by +5.0
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 3.5 Flash
62.6
Claude Fable 5
87.8
Claude Opus 4.8
82.9
Artificial Analysis · Agentic Index
Claude Fable 5 leads by +15.4
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?"
Gemini 3.5 Flash
37.5
Claude Fable 5
52.8
Artificial Analysis · Coding Index
Claude Fable 5 leads by +6.3
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.
Gemini 3.5 Flash
70.1
Claude Fable 5
76.5
Artificial Analysis · Quality Index
Claude Fable 5 leads by +9.7
Gemini 3.5 Flash
50.2
Claude Fable 5
59.9
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3.5 Flash
92.5
Claude Opus 4.8
92.5
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.
Gemini 3.5 Flash
72.1
Claude Opus 4.8
72.1
FrontierMath-2025-02-28-Private
Claude Opus 4.8 leads by +8.3
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Gemini 3.5 Flash
39.0
Claude Opus 4.8
47.2
FrontierMath-Tier-4-2025-07-01-Private
Claude Opus 4.8 leads by +16.7
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Gemini 3.5 Flash
14.6
Claude Opus 4.8
31.3
GPQA diamond
Gemini 3.5 Flash leads by +2.4
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3.5 Flash
90.4
Claude Opus 4.8
88.0
Full benchmark table
| Benchmark | Gemini 3.5 Flash | Claude Fable 5 | Claude Opus 4.8 |
|---|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 49.6 | 45.0 | 42.5 |
Chatbot Arena Elo · Coding | 1505.5 | 1653.9 | 1542.3 |
Chatbot Arena Elo · Overall | 1476.3 | 1507.6 | 1477.8 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 50.0 | 41.0 | 34.0 |
FrontierMath-Tier-4-v2-Private | 26.8 | 87.8 | 56.1 |
FrontierMath-Tiers-1-3-v2-Private | 62.8 | 87.0 | 80.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 95.5 | 99.7 | 98.3 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 72.0 | 78.3 | 57.8 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 68.4 | 68.3 | 39.5 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 62.6 | 87.8 | 82.9 |
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?" | 37.5 | 52.8 | — |
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. | 70.1 | 76.5 | — |
Artificial Analysis · Quality Index | 50.2 | 59.9 | — |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 92.5 | — | 92.5 |
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. | 72.1 | — | 72.1 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 39.0 | — | 47.2 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 14.6 | — | 31.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.4 | — | 88.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.50 | $9.00 | 1.0M tokens (~524 books) | $33.75 | |
| $10.00 | $50.00 | 1.0M tokens (~500 books) | $200.00 | |
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 |