Claude Fable 5.2 vs Gemini 4 Carbon
Full profiles: Claude Fable 5.2 (Anthropic) and Gemini 4 Carbon (Google): every benchmark, price and rank.
Updated · Data from 8 sources
As of 9 Nov 2026, Claude Fable 5.2 and Gemini 4 Carbon are neck and neck on quality (69.4 vs 68.5 on the BenchLeader Index, inside the ±6.5 margin), and Gemini 4 Carbon is 2.0× cheaper at $8.00 vs $16.00 per 1M tokens blended. 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 4 Carbon scores 68.5 (BenchLeader, 9 Nov 2026).
- Claude Fable 5.2 costs $16.00 per 1M tokens blended (list price, 9 Nov 2026).
- Gemini 4 Carbon costs $8.00 per 1M tokens blended (list price, 9 Nov 2026).
- Of the 13 benchmarks both models have, Claude Fable 5.2 leads 9 (BenchLeader, 9 Nov 2026).
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 75 category score; FrontierCode 2.0 (AA) 48.8% vs 40.6% | Medium |
| Reasoning | Claude Fable 5.2 | 78 vs 77 category score; HLE-Diamond (AA) 80.2% vs 69.1% | Medium |
| Knowledge | Claude Fable 5.2 | 82 vs 74 category score; AA-Omniscience v1.1 66.8 vs 53.5 | Medium |
| Long documents | Claude Fable 5.2 | 66 vs 64 category score; AA-LCR v1.1 83.3% vs 79.3% | Medium |
| Chat quality (human preference) | – | Only Gemini 4 Carbon has an Arena rating (73 category score) | Not comparable |
| Lowest cost | Gemini 4 Carbon | $8.00 vs $16.00 per 1M blended; agentic coding session $0.320 vs $0.640 | – |
| Fastest first answer | Claude Fable 5.2 | 3.0 s (Claude Fable 5.2 (max)) vs 69.4 s (Gemini 4 Carbon (high)) to the first answer token | – |
| 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) and Gemini 4 Carbon (high) are neck and neck on quality (69.4 vs 68.5, within the ±6.5 margin).
- Claude Fable 5.2 (max) is stronger in coding, knowledge, long context, reasoning.
- Gemini 4 Carbon (high) is stronger in agents & tools, human preference.
- Gemini 4 Carbon (high) is 2.0× cheaper ($8.00 vs $16.00 per 1M blended).
At a glance
| Spec | Claude Fable 5.2 | Gemini 4 Carbon |
|---|---|---|
| Developer | Anthropic | |
| Released | 9 Nov 2026 | 28 Oct 2026 |
| Context window (tokens) | 1,000,000 | 1,000,000 |
| Compared at | Claude Fable 5.2 (max) | Gemini 4 Carbon (high) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $8.00 / $40.00 / $0.200 | $4.00 / $20.00 / – |
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 4 Carbon (high) | Leader |
|---|---|---|---|
| Reasoning | 78.4 | 76.9 | Claude Fable 5.2 |
| Coding | 80.2 | 74.5 | Claude Fable 5.2 |
| Agents & tools | – | 78.2 | not comparable |
| Knowledge | 81.7 | 74.3 | Claude Fable 5.2 |
| Human preference | – | 72.8 | not comparable |
| Long context | 66.4 | 64.3 | Claude Fable 5.2 |
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, Multimodal, Human preference.
Where sources disagree
Across the 13 benchmarks both have, Claude Fable 5.2 leads 9, Gemini 4 Carbon leads 4. Every overall index that rates both puts Claude Fable 5.2 ahead.
| Overall index | Claude Fable 5.2 (max) | Gemini 4 Carbon (high) | Leader |
|---|---|---|---|
| BenchLeader Index | 69.4 | 68.5 | neck and neck |
| AA Intelligence Index v5.0 | 64.6 | 60.0 | Claude Fable 5.2 |
| Vals Index | 71.3† | 70.5 | 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 4 Carbon (high) |
|---|---|---|
| Blended price per 1M tokens | $16.00 | $8.00 |
| Input / output per 1M | $8.00 / $40.00 | $4.00 / $20.00 |
| Cached input per 1M | $0.200 | – |
| Price per task: chat reply | $0.015 | $0.0076 |
| Price per task: summarize a 30-page report | $0.120 | $0.060 |
| Price per task: code edit | $0.108 | $0.054 |
| Price per task: agentic coding session | $0.640 | $0.320 |
| Price per task: structured extraction | $0.024 | $0.012 |
| Agentic coding session, input mostly cached | $0.289 | – |
| Cost per benchmark task (AA Index) | $26.54 | $7.76 |
| Output tokens per task (AA Index) | 274k | 123k |
| Of which reasoning | 193k | 72k |
| Time per task (AA Index) | – | 27 min |
| Output speed | 72 tok/s | 75 tok/s |
| Time to first answer | 3.0 s | 69.4 s |
| Time to a complete answer | – | 160.3 s |
Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $26.54 on Claude Fable 5.2 (max) and $7.76 on Gemini 4 Carbon (high), and Claude Fable 5.2 (max) wrote 2.2× as many output tokens for the same work, which a per-token price hides.
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 4 Carbon (high) scores 68.5 and takes 69 s to its first answer token; Gemini 4 Carbon (medium) scores 64.1 in 27 s. 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
64 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 4 Carbon (high) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 69.4 | 68.5 |
| Coding score | BenchLeader | 80.2 | 74.5 |
| Knowledge score | BenchLeader | 81.7 | 74.3 |
| Long context score | BenchLeader | 66.4 | 64.3 |
| Reasoning score | BenchLeader | 78.4 | 76.9 |
| Agents & tools score | BenchLeader | – | 78.2 |
| Human preference score | BenchLeader | – | 72.8 |
| Blended price $/M | BenchLeader | $16.00 | $8.00 |
| Output speed | BenchLeader | 72 tok/s | 75 tok/s |
| Time to first answer | BenchLeader | 3.0 s | 69.4 s |
| Context window | BenchLeader | 1,000,000 tokens | 1,000,000 tokens |
| Reasoning | |||
| Arena Hard Prompts | Arena (LMArena) | – | 1547 |
| LiveBench 2.0 Reasoning | LiveBench | 88.8%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 74.3% | – |
| HLE-Diamond (AA) | Artificial Analysis | 80.2% | 69.1% |
| ARC-AGI-1 | ARC Prize | 97.5% | – |
| ARC-AGI-2 | ARC Prize | 92.5% | – |
| ARC-AGI-3 | ARC Prize | 94.9% | – |
| CritPt | Artificial Analysis | 35.4% | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | 76.5% | 69.0% |
| MysteryMechanism | Vals AI | 51.8%† | – |
| Coding | |||
| SciCode | SciCode | – | 64.2% |
| Arena Coding | Arena (LMArena) | – | 1567 |
| Arena WebDev | Arena (LMArena) | – | 1768 |
| LiveBench 2.0 Coding | LiveBench | 79.2%† | – |
| SciCode (AA) | Artificial Analysis | 67.7% | – |
| 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%† | 89.1% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.6% | 65.2% |
| FrontierCode 1.1 (AA) | Artificial Analysis | 56.2% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 48.8% | 40.6% |
| Agents & tools | |||
| Arena Agent | Arena (LMArena) | – | 16.6 |
| LiveBench Long Agentic | LiveBench | 82.9%† | – |
| LiveBench Browser | LiveBench | 86.9%† | – |
Show all 64 benchmarks
| Metric | Publisher | Claude Fable 5.2 (max) | Gemini 4 Carbon (high) |
|---|---|---|---|
| Agents & tools | |||
| GDPval-AA v2.1 | Artificial Analysis | 1831 | 1733 |
| Finance Agent v2.1 | Vals AI | 69.5%† | 67.2% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 5.0%† | 17.5% |
| Legal Research Bench | Vals AI | 46.1%† | 55.8% |
| Tax Agent Bench | Vals AI | 32.1%† | 51.8% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 65.2%† | 63.1% |
| Terminal-Bench Science | Vals AI | 55.7%† | – |
| Vending-Bench 2 | Andon Labs | – | 16484.2† |
| AutomationBench | Artificial Analysis | 76.4% | 77.8% |
| GDP.pdf (AA) | Artificial Analysis | 24.2% | 28.4% |
| Harvey LAB-AA v1.1 | Harvey | 7.2% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1785 | 1611 |
| GDPx | GDPx by SemiAnalysis | – | 10.9% |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 73.3% | 64.8% |
| FACTS Search | – | 94.4%† | |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 81.5%† | – |
| LiveBench Research | LiveBench | 94.5%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 66.8 | 53.5 |
| BioMysteryBench | Vals AI | 83.7%† | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 77.4%† | 76.5% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 79.1% | 58.3% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 40.7% | 88.6% |
| HealthBench Professional (AA) | OpenAI | 67.7% | – |
| Instruction following | |||
| Arena Instruction Following | Arena (LMArena) | – | 1526 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1527 |
| Arena Creative Writing | Arena (LMArena) | – | 1518 |
| Arena Multi-turn | Arena (LMArena) | – | 1564 |
| Arena Longer Queries | Arena (LMArena) | – | 1539 |
| Multimodal | |||
| LiveBench Design | LiveBench | 85.1%† | – |
| MMMU-Pro | Artificial Analysis | – | 89.3%† |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | – | 58.6%† |
| AA-3D | Artificial Analysis | 1271 | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 83.3% | 79.3% |
| Composite | |||
| LiveBench 2.0 | LiveBench | 84.9%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 64.6 | 60.0 |
| AA Progress Index v1 | Artificial Analysis | – | 350.8 |
| Vals Index | Vals AI | 71.3† | 70.5 |
| Vals Finance Index | Vals AI | 63.6%† | 67.0% |
| Vals Science Index | Vals AI | 63.7%† | – |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 4 Carbon (high): BenchLeader Index 69.3 → 68.5.
- Gemini 4 Carbon (high): BenchLeader Index 68.8 → 69.3.
- Gemini 4 Carbon (high): 1 score revision.
- Gemini 4 Carbon (high): 2 score revisions.
- Gemini 4 Carbon (high): 1 score revision.
- Gemini 4 Carbon (high): 2 score revisions.
- Gemini 4 Carbon (high): 1 score revision.
Related comparisons
- Claude Fable 5.2 vs Claude Opus 5.5
- Claude Fable 5.2 vs GPT-6 Astra
- Claude Fable 5.2 vs GPT-6.1 Sol
- Gemini 4 Carbon vs Claude Opus 5.5
- Gemini 4 Carbon vs GPT-6 Astra
- Gemini 4 Carbon vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 4 Carbon
- Claude Fable 5.2 vs Gemini 4 Argon
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Claude Fable 5.2 vs Gemini 4 Carbon: questions
- Is Claude Fable 5.2 better than Gemini 4 Carbon?
- Claude Fable 5.2 (max) and Gemini 4 Carbon (high) are neck and neck on quality (69.4 vs 68.5, within the ±6.5 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
- Claude Fable 5.2 vs Gemini 4 Carbon: which is cheaper, and will that change?
- Gemini 4 Carbon is cheaper today: $8.00 against $16.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Claude Fable 5.2 or Gemini 4 Carbon better for coding?
- Claude Fable 5.2 scores higher in coding (80 vs 75 on the category index, where 50 is average). On FrontierCode 2.0 (AA), the top shared coding benchmark, it is 48.8% for Claude Fable 5.2 against 40.6% for Gemini 4 Carbon.
- Which is faster, Claude Fable 5.2 or Gemini 4 Carbon?
- Gemini 4 Carbon streams faster (75 vs 72 output tokens per second, Artificial Analysis 7-day median).
- Which is better for long documents?
- Claude Fable 5.2 scores higher on long-context benchmarks (66 vs 64). Both accept 1,000,000 tokens of context.
More questions (3)
- Which has lower latency?
- Claude Fable 5.2 answers first: 3.0 s against 69.4 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Do independent benchmarks agree on Claude Fable 5.2 vs Gemini 4 Carbon?
- Across the 13 benchmarks both have, Claude Fable 5.2 leads 9, Gemini 4 Carbon leads 4. 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.