Claude Fable 5.2
| Released | 2026-11-09 |
|---|---|
| Price per 1M | $8.00 in · $40.00 out |
| Overall score | 68.5 · rank 1 |
| Context window | 1,000,000 tokens |
| Provider | Anthropic |
| Weights | Proprietary |
Scores
| Dimension | Score | Rank | Benchmarks |
|---|---|---|---|
| Overall: Balanced | 68.5 | 1 | 39 |
| Overall: Coding | 66.7 | 2 | 33 |
| Overall: Reasoning | 71.1 | 1 | 19 |
| Overall: Agentic work | 66.3 | 2 | 31 |
| Overall: Frontend | 66.1 | 2 | 9 |
| Coding | 67.1 | 2 | 7 |
| Agents | 65.3 | 1 | 11 |
| Reasoning | 69.2 | 3 | 13 |
| Math | 70.4 | 1 | 4 |
| Knowledge | 76.7 | 1 | 2 |
| Frontend | 65.6 | 3 | 2 |
| Value vs price | +12.4 | 18 |
Buzz
| Posts on X | About 9,830 a day |
|---|---|
| Mood | 40% positive, 15% negative |
| Hacker News | 173 mentions this week |
| Checked | 2026-11-11 |
- I've been waiting to make my agentic video editing series for a while... It's time. Oh my god fable 5.2 is the breakthrough. It's funny my first instinct is i need to hire 5 editors to use these tools to scale content. That's how much leverage these tools will give creative t…
- THE 10 BEST CODING IDES IN THE AGE OF CODEX AND CLAUDE CODE A coding IDE is no longer only a place you type. OpenAI Codex and Anthropic's Claude Code run as terminal agents that read a repo, edit files, run tests and open pull requests. The editor's job is to host those agents…
- I used Fable 5.2 for this. and it did a good job explaining the product https://t.co/m6OFfUqTKz
Configurations
| Configuration | Balanced | Benchmarks |
|---|---|---|
| Unspecified setting | 67.7 ±3.2 | 10 |
| High | 65.9 ±1.6 | 21 |
| Low | 64.8 ±4.0 | 6 |
| Max | 70.6 ±2.9 | 15 |
| Medium | 65.9 ±4.0 | 6 |
| Extra High | 67.2 ±4.0 | 6 |
Evidence
Coding 67.1 ±1.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| CursorBench | 60.0% | Epoch AI | 2026-11-11 |
| FrontierSWE | 69.9% | Epoch AI | 2026-11-11 |
| Code Migration v1.1 | 83.3% | Vals AI | 2026-11-09 |
| LiveBench 2.0 Coding | 79.2% | LiveBench | 2026-11-06 |
| SWE-bench Multimodal | 62.3% | Vals AI | 2026-11-09 |
| SciCode | 67.7% | Epoch AI | 2026-11-11 |
| ProgramBench | 19.0% | Vals AI | 2026-11-09 |
Agents 65.3 ±2.0
| Benchmark | Result | Source | Date |
|---|---|---|---|
| Terminal-Bench 4.0 (Vals run) | 65.2% | Vals AI | 2026-11-09 |
| Terminal-Bench-Science | 55.7% | Vals AI | 2026-11-09 |
| APEX-Agents | 80.1% | Epoch AI | 2026-11-11 |
| Remote Labor Index | 41.3% | Epoch AI | 2026-11-11 |
| LiveBench 2.0 Agentic | 82.9% | LiveBench | 2026-11-06 |
| LiveBench 2.0 Browser Use | 86.9% | LiveBench | 2026-11-06 |
| EMB v1.1 (Excel financial modeling) | 77.4% | Vals AI | 2026-11-09 |
| LiveBench 2.0 Research | 94.5% | LiveBench | 2026-11-06 |
| Tax Agent Bench | 32.1% | Vals AI | 2026-11-09 |
| Finance Agent v2.1 | 69.5% | Vals AI | 2026-11-09 |
| HLAB-Vals 1.1 (legal agent) | 5.0% | Vals AI | 2026-11-09 |
Reasoning 69.2 ±2.3
| Benchmark | Result | Source | Date |
|---|---|---|---|
| ARC-AGI-2 | 93.8% | Epoch AI | 2026-11-11 |
| ARC-AGI-2 (ARC Prize verified) | 93.8% | ARC Prize | 2026-11-11 |
| Extended NYT Connections | 97.3% | Lech Mazur | 2026-11-10 |
| MysteryMechanism | 51.8% | Vals AI | 2026-11-09 |
| GPQA Diamond | 93.9% | Epoch AI | 2026-11-06 |
| CritPt | 35.7% | Epoch AI | 2026-11-11 |
| ARC-AGI-1 (ARC Prize verified) | 98.5% | ARC Prize | 2026-11-11 |
| ARC-AGI-1 | 98.5% | Epoch AI | 2026-11-11 |
| SimpleBench | 94.9% | SimpleBench | 2026-11-10 |
| BioMysteryBench | 83.7% | Vals AI | 2026-11-09 |
| ARC-AGI-3 | 97.7% | ARC Prize | 2026-11-11 |
| Chess Puzzles | 79.0% | Epoch AI | 2026-11-06 |
| LiveBench 2.0 Reasoning | 88.8% | LiveBench | 2026-11-06 |
| Mystery Game Puzzles | 90.0% | Epoch AI | 2026-11-06 |
| LiveBench 2.0 Data Analysis | 81.5% | LiveBench | 2026-11-06 |
Math 70.4 ±2.3
| Benchmark | Result | Source | Date |
|---|---|---|---|
| FrontierMath Tiers 1-3 | 95.1% | Epoch AI | 2026-11-06 |
| FrontierMath Tier 4 | 100.0% | Epoch AI | 2026-11-06 |
| OTIS Mock AIME 2024-2025 | 99.7% | Epoch AI | 2026-11-06 |
| ProofBench v1.1 | 100.0% | Vals AI | 2026-11-09 |
| ProofBench | 100.0% | Epoch AI | 2026-11-11 |
Knowledge 76.7 ±2.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| SimpleQA Verified | 94.0% | Epoch AI | 2026-11-06 |
| Legal Research Bench | 46.2% | Vals AI | 2026-11-09 |
Frontend 65.6 ±0.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| Vibe Code Bench v1.1 | 93.8% | Vals AI | 2026-11-09 |
| LiveBench 2.0 Design | 85.1% | LiveBench | 2026-11-06 |
Results not used in the score
| Benchmark | Result | Source | Why not used |
|---|---|---|---|
| ARC-AGI-1 | 97.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 97.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 97.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 94.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 97.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 97.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 97.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 94.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 | 92.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 90.4% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 89.6% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 86.7% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 92.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 90.4% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 89.6% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 86.7% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 65.7% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 94.9% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 81.2% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 97.3% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 79.3% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 73.3% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 96.8% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 52.0% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 92.3% | ARC Prize | A stronger configuration result was used |
| CritPt | 35.4% | Epoch AI | A stronger configuration result was used |
| CritPt | 32.9% | Epoch AI | A stronger configuration result was used |
| CritPt | 30.9% | Epoch AI | A stronger configuration result was used |
| CritPt | 29.4% | Epoch AI | A stronger configuration result was used |
| CursorBench | 56.3% | Epoch AI | A stronger configuration result was used |
| CursorBench | 56.9% | Epoch AI | A stronger configuration result was used |
| CursorBench | 54.8% | Epoch AI | A stronger configuration result was used |
| CursorBench | 53.2% | Epoch AI | A stronger configuration result was used |
| SciCode | 65.6% | Epoch AI | A stronger configuration result was used |
| SciCode | 59.5% | Epoch AI | A stronger configuration result was used |
| SciCode | 59.7% | Epoch AI | A stronger configuration result was used |
| SciCode | 57.8% | Epoch AI | A stronger configuration result was used |
Names matched to this model
claude-fable-5-2