Claude Fable 5.2 vs Gemini 3 Pro
Full profiles: Claude Fable 5.2 (Anthropic) and Gemini 3 Pro (Google): every benchmark, price and rank.
Updated · Data from 15 sources
As of 9 Nov 2026, Claude Fable 5.2 is ahead of Gemini 3 Pro on quality (69.4 vs 60.3 on the BenchLeader Index). Claude Fable 5.2 leads in every category we measure both in.
Key facts (as of 9 Nov 2026)
- Claude Fable 5.2 scores 69.4 on the BenchLeader Index and Gemini 3 Pro scores 60.3 (BenchLeader, 9 Nov 2026).
- Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
- Of the 2 benchmarks both models have, Claude Fable 5.2 leads 2 (BenchLeader, 9 Nov 2026).
Claude Fable 5.2 benchmarks 
Gemini 3 Pro benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | Claude Fable 5.2 | 80 vs 58 category score | High |
| Reasoning | Claude Fable 5.2 | 78 vs 66 category score; ARC-AGI-2 92.5% vs 54.0% | High |
| Knowledge | Claude Fable 5.2 | 82 vs 56 category score | High |
| Chat quality (human preference) | – | Only Gemini 3 Pro has an Arena rating (68 category score) | Not comparable |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Claude Fable 5.2 (max) leads on quality: 69.4 vs 60.3.
- Claude Fable 5.2 (max) is stronger in coding, knowledge, long context, reasoning.
- Gemini 3 Pro is stronger in agents & tools, human preference, instruction following, maths, multimodal.
At a glance
| Spec | Claude Fable 5.2 | Gemini 3 Pro |
|---|---|---|
| Developer | Anthropic | |
| Released | 9 Nov 2026 | 18 Nov 2025 |
| Context window (tokens) | 1,000,000 | – |
| Compared at | Claude Fable 5.2 (max) | Gemini 3 Pro |
| Open weights | No | No |
| Price in / out / cached input per 1M | $8.00 / $40.00 / $0.200 | – |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Claude Fable 5.2 (max) | Gemini 3 Pro | Leader |
|---|---|---|---|
| Reasoning | 78.4 | 65.5 | Claude Fable 5.2 |
| Coding | 80.2 | 57.9 | Claude Fable 5.2 |
| Agents & tools | – | 61.3 | not comparable |
| Maths | – | 54.2 | not comparable |
| Knowledge | 81.7 | 56.2 | Claude Fable 5.2 |
| Instruction following | – | 60.1 | not comparable |
| Human preference | – | 67.7 | not comparable |
| Multimodal | – | 65.6 | not comparable |
| Long context | 66.4 | – | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Agents & tools, Maths, Instruction following, Long context, Multimodal, Human preference.
Where sources disagree
Across the 2 benchmarks both have, Claude Fable 5.2 leads 2, Gemini 3 Pro leads 0. Every overall index that rates both puts Claude Fable 5.2 ahead.
| Overall index | Claude Fable 5.2 (max) | Gemini 3 Pro | Leader |
|---|---|---|---|
| BenchLeader Index | 69.4 | 60.3 | Claude Fable 5.2 |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Claude Fable 5.2 (max) | Gemini 3 Pro |
|---|---|---|
| Blended price per 1M tokens | $16.00 | – |
| Input / output per 1M | $8.00 / $40.00 | – / – |
| Cached input per 1M | $0.200 | – |
| Price per task: chat reply | $0.015 | – |
| Price per task: summarize a 30-page report | $0.120 | – |
| Price per task: code edit | $0.108 | – |
| Price per task: agentic coding session | $0.640 | – |
| Price per task: structured extraction | $0.024 | – |
| Agentic coding session, input mostly cached | $0.289 | – |
| Cost per benchmark task (AA Index) | $26.54 | – |
| Output tokens per task (AA Index) | 274k | – |
| Of which reasoning | 193k | – |
| Output speed | 72 tok/s | – |
| Time to first answer | 3.0 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5.2 (max) scores 69.4 and takes 3 s to its first answer token; Claude Fable 5.2 (high) scores 68.9 in 3 s, Claude Fable 5.2 (xhigh) scores 68.7 in 3 s. Gemini 3 Pro scores 60.3; Gemini 3 Pro (high) scores 60.1. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
144 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Claude Fable 5.2 (max) | Gemini 3 Pro |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 69.4 | 60.3 |
| Coding score | BenchLeader | 80.2 | 57.9 |
| Knowledge score | BenchLeader | 81.7 | 56.2 |
| Long context score | BenchLeader | 66.4 | – |
| Reasoning score | BenchLeader | 78.4 | 65.5 |
| Agents & tools score | BenchLeader | – | 61.3 |
| Human preference score | BenchLeader | – | 67.7 |
| Instruction following score | BenchLeader | – | 60.1 |
| Maths score | BenchLeader | – | 54.2 |
| Multimodal score | BenchLeader | – | 65.6 |
| Blended price $/M | BenchLeader | $16.00 | – |
| Output speed | BenchLeader | 72 tok/s | – |
| Time to first answer | BenchLeader | 3.0 s | – |
| Context window | BenchLeader | 1,000,000 tokens | – |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 92.6% |
| Humanity's Last Exam | Scale AI / CAIS | – | 37.5% |
| SimpleBench | SimpleBench | – | 76.4% |
| Arena Hard Prompts | Arena (LMArena) | – | 1502 |
| LiveBench 2.0 Reasoning | LiveBench | 88.8%† | – |
| GPQA Diamond (AA) | Artificial Analysis | – | 90.8%† |
| Humanity's Last Exam (AA) | Artificial Analysis | 74.3% | 39.7%† |
| HLE-Diamond (AA) | Artificial Analysis | 80.2% | – |
| GPQA Diamond (Vals) | Vals AI | – | 91.7%† |
| Kagi LLM Benchmark | Kagi LLM Benchmark | – | 80.1% |
| GPQA Diamond (HELM) | HELM Capabilities | – | 80.3% |
| ARC-AGI-1 | ARC Prize | 97.5% | 75.0% |
| ARC-AGI-2 | ARC Prize | 92.5% | 54.0% |
| ARC-AGI-3 | ARC Prize | 94.9% | – |
| CritPt | Artificial Analysis | 35.4% | 9.1%† |
| CritPt v2 hard subset (AA) | Artificial Analysis | 76.5% | – |
| MysteryMechanism | Vals AI | 51.8%† | – |
| SciPredict | Scale AI SEAL | – | 25.3% |
| CL-bench | Epoch AI Benchmarking Hub | – | 15.8% |
| ForecastBench | ForecastBench | – | 65.2% |
| Coding | |||
| SWE-bench Verified (Epoch) | Epoch AI Benchmarking Hub | – | 72.9% |
| WeirdML | WeirdML | – | 69.9% |
| GSO-Bench | GSO-Bench | – | 18.6% |
| Arena Coding | Arena (LMArena) | – | 1517 |
| Arena WebDev | Arena (LMArena) | – | 1441 |
Show all 144 benchmarks
| Metric | Publisher | Claude Fable 5.2 (max) | Gemini 3 Pro |
|---|---|---|---|
| Coding | |||
| LiveBench 2.0 Coding | LiveBench | 79.2%† | – |
| SciCode (AA) | Artificial Analysis | 67.7% | – |
| LiveCodeBench | Vals AI | – | 86.4% |
| SWE-bench (Vals) | Vals AI | – | 76.4%† |
| SWE-Bench Pro | Scale AI SEAL | – | 43.3% |
| SWE-bench Verified (bash only) | SWE-bench | – | 74.2% |
| SWE-bench Verified (any scaffold) | SWE-bench | – | 77.4% |
| Code Migration v1.1 | Vals AI | 83.3%† | – |
| ProgramBench | Vals AI | 19.0%† | – |
| SWE-bench Multimodal | Vals AI | 62.3%† | – |
| Vibe Code Bench v1.1 | Vals AI | 93.8%† | 14.3%† |
| SWE-Bench Pro (private) | Scale AI SEAL | – | 43.3% |
| ALE-Bench | Epoch AI Benchmarking Hub | – | 1176.8 |
| AlgoTune | AlgoTune | – | 1.8 |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.6% | – |
| Design Arena Website | Design Arena | – | 1249 |
| FrontierCode 1.1 (AA) | Artificial Analysis | 56.2% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 48.8% | – |
| LiveCodeBench (AA) | Artificial Analysis | – | 91.8%† |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | – | 69.4% |
| GDPval | OpenAI | – | 40.3% |
| Remote Labor Index | Scale AI / CAIS | – | 1.3% |
| LiveBench Long Agentic | LiveBench | 82.9%† | – |
| LiveBench Browser | LiveBench | 86.9%† | – |
| Terminal-Bench Hard | Artificial Analysis | – | 41.7%† |
| τ²-Bench Telecom (AA) | Artificial Analysis | – | 87.1%† |
| MCP Atlas | Scale AI SEAL | – | 70.3% |
| BFCL Overall | Berkeley Function Calling Leaderboard | – | 72.5% |
| τ²-bench | τ²-bench | – | 82.5%† |
| τ³-bench Banking | τ²-bench | – | 18.0%† |
| GDPval-AA v2.1 | Artificial Analysis | 1831 | – |
| Finance Agent v2.1 | Vals AI | 69.5%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 5.0%† | – |
| Legal Research Bench | Vals AI | 46.1%† | – |
| Poker Agent | Vals AI | – | 1078.9% |
| Tax Agent Bench | Vals AI | 32.1%† | – |
| Terminal-Bench 2.0 (Vals) | Vals AI | – | 55.1%† |
| Terminal-Bench 4.0 (Vals) | Vals AI | 65.2%† | – |
| Terminal-Bench Science | Vals AI | 55.7%† | – |
| Arena Search | Arena (LMArena) | – | 1201 |
| BALROG | BALROG | – | 58.1% |
| DeepResearch Bench | DeepResearch Bench | – | 46.3%† |
| METR Time Horizons | METR | – | 71.0% |
| Vending-Bench 2 | Andon Labs | – | 5478.2 |
| AutomationBench | Artificial Analysis | 76.4% | – |
| GDP.pdf (AA) | Artificial Analysis | 24.2% | – |
| Harvey LAB-AA v1.1 | Harvey | 7.2% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1785 | – |
| Design Arena Agentic | Design Arena | – | 1075 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 73.3% | – |
| Maths | |||
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 91.4% |
| ProofBench | Vals AI | – | 20.0% |
| AIME (Vals) | Vals AI | – | 96.7%† |
| MGSM | Vals AI | – | 93.9%† |
| AIME 2026 | MathArena | – | 91.7% |
| HMMT February 2026 | MathArena | – | 86.4% |
| MathArena Apex | MathArena | – | 23.4% |
| Omni-MATH (HELM) | HELM Capabilities | – | 55.6% |
| MATH 500 | Vals AI | – | 96.4%† |
| Arena Maths | Arena (LMArena) | – | 1476 |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 81.5%† | – |
| LiveBench Research | LiveBench | 94.5%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 66.8 | – |
| MMLU-Pro | Vals AI | – | 90.1% |
| LegalBench | Vals AI | – | 87.0%† |
| CorpFin | Vals AI | – | 63.7%† |
| TaxEval | Vals AI | – | 72.6%† |
| MedQA | Vals AI | – | 96.0%† |
| PRBench Finance | Scale AI SEAL | – | 39.2% |
| PRBench Legal | Scale AI SEAL | – | 40.6% |
| MultiNRC | Scale AI SEAL | – | 59.0% |
| MMLU-Pro (HELM) | HELM Capabilities | – | 90.3% |
| BioMysteryBench | Vals AI | 83.7%† | – |
| CaseLaw v2 | Vals AI | – | 53.1%† |
| Excel Modeling Benchmark v1.1 | Vals AI | 77.4%† | – |
| MedCode | Vals AI | – | 52.2%† |
| MedScribe | Vals AI | – | 72.0%† |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 79.1% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 40.7% | – |
| Global-MMLU-Lite (AA) | Artificial Analysis | – | 92.2%† |
| HealthBench Professional (AA) | OpenAI | 67.7% | – |
| Instruction following | |||
| IFBench | Artificial Analysis | – | 70.4%† |
| MultiChallenge | Scale AI SEAL | – | 65.7% |
| TutorBench | Scale AI SEAL | – | 53.7% |
| IFEval (HELM) | HELM Capabilities | – | 87.6% |
| WildBench (HELM) | HELM Capabilities | – | 85.9% |
| Arena Instruction Following | Arena (LMArena) | – | 1473 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1486 |
| Arena Creative Writing | Arena (LMArena) | – | 1484 |
| Arena Multi-turn | Arena (LMArena) | – | 1495 |
| Arena Longer Queries | Arena (LMArena) | – | 1491 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1305 |
| LiveBench Design | LiveBench | 85.1%† | – |
| MMMU-Pro | Artificial Analysis | – | 80.2%† |
| VISTA | Scale AI SEAL | – | 51.5% |
| MMMU-Pro (official) | MMMU | – | 81.0% |
| MMMU-Pro (Vals) | Vals AI | – | 87.5%† |
| MortgageTax | Vals AI | – | 69.1%† |
| AudioMC | Scale AI SEAL | – | 54.6%† |
| AudioMC (text output) | Scale AI SEAL | – | 54.6%† |
| VTB | Scale AI SEAL | – | 26.9% |
| GeoBench | GeoBench | – | 84.0% |
| VPCT | Epoch AI Benchmarking Hub | – | 91.0% |
| AA-3D | Artificial Analysis | 1271 | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 83.3% | 76.0%† |
| Arena Document | Arena (LMArena) | – | 1451 |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 152.9 |
| LiveBench 2.0 | LiveBench | 84.9%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 64.6 | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 28.0† |
| AA Progress Index v1 | Artificial Analysis | – | 290.7† |
| Vals Index | Vals AI | 71.3† | – |
| HELM Capabilities mean | HELM Capabilities | – | 79.9% |
| Vals Finance Index | Vals AI | 63.6%† | – |
| Vals Science Index | Vals AI | 63.7%† | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 41.7% |
| MASK | Scale AI SEAL | – | 42.6% |
| PropensityBench | Scale AI SEAL | – | 52.9% |
| Metadata | |||
| AA Openness Index | Artificial Analysis | – | 5.6† |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 3 Pro: 1 new result (Arena Search).
- Gemini 3 Pro: 1 score revision.
- Gemini 3 Pro: 1 score revision.
- Gemini 3 Pro: BenchLeader Index 60.9 → 60.4.
- Gemini 3 Pro: 1 new result (PRBench Legal).
- Gemini 3 Pro: BenchLeader Index 60.4 → 60.9.
- Gemini 3 Pro: 1 new result (VTB).
- Gemini 3 Pro: 2 new results (PRBench Legal, MultiNRC).
- Gemini 3 Pro: BenchLeader Index 61.0 → 60.4.
- Gemini 3 Pro: 1 new result (PRBench Finance).
Related comparisons
- Claude Fable 5.2 vs Claude Opus 5.5
- Claude Fable 5.2 vs Gemini 4 Carbon
- Claude Fable 5.2 vs GPT-6 Astra
- Gemini 3 Pro vs Claude Opus 5.5
- Gemini 3 Pro vs Gemini 4 Carbon
- Gemini 3 Pro vs GPT-6 Astra
- Claude Sonnet 5.5 vs Gemini 3 Pro
- Claude Fable 5.2 vs Claude Fable 5.1
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Claude Fable 5.2 vs Gemini 3 Pro: questions
- Is Claude Fable 5.2 better than Gemini 3 Pro?
- Claude Fable 5.2 (max) leads on quality: 69.4 vs 60.3. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.2 (max) is ahead overall as of 9 Nov 2026, but check the category scores for your use.
- Is Claude Fable 5.2 or Gemini 3 Pro better for coding?
- Claude Fable 5.2 scores higher in coding (80 vs 58 on the category index, where 50 is average).
- Do independent benchmarks agree on Claude Fable 5.2 vs Gemini 3 Pro?
- Across the 2 benchmarks both have, Claude Fable 5.2 leads 2, Gemini 3 Pro leads 0. Every overall index that rates both puts Claude Fable 5.2 ahead.
- When was Claude Fable 5.2 released?
- Claude Fable 5.2 was released on 9 Nov 2026.