Claude Fable 5.1 Max
| Released | 2026-09-01 |
|---|---|
| Price per 1M | $10.00 in · $50.00 out |
| Overall score | 64.8 · rank 23 |
| Context window | 1,000,000 tokens |
| Provider | Anthropic |
| Weights | Proprietary |
| Configuration | Max |
Scores
| Dimension | Score | Rank | Benchmarks |
|---|---|---|---|
| Overall: Balanced | 64.8 | 23 | 34 |
| Overall: Coding | 64.6 | 22 | 24 |
| Overall: Reasoning | 66.3 | 24 | 14 |
| Overall: Agentic work | 64.2 | 25 | 22 |
| Overall: Frontend | 63.9 | 27 | 12 |
| Coding | 65.2 | 23 | 8 |
| Agents | 63.3 | 20 | 7 |
| Reasoning | 66.5 | 27 | 7 |
| Math | 66.4 | 14 | 4 |
| Knowledge | 65.7 | 4 | 3 |
| Frontend | 63.2 | 14 | 2 |
| General | 63.0 | 30 | 1 |
| Multimodal | 63.8 | 2 | 2 |
| Value vs price | +6.1 | 112 |
Buzz
| Posts on X | About 157 a day |
|---|---|
| Mood | 16% positive, 32% negative |
| Hacker News | 51 mentions this week |
| Checked | 2026-11-11 |
- Unverified rumours 😃 Physical AI anxiety and Huawei Ascend pretraining: Sources close to DeepSeek note that OpenAI's GPT 6 Astra hitting 95% accuracy on a robotic control task (versus 40% for Claude Fable 5.1) triggered internal concern that scaling text and code LLMs alone wi…
- Here’s proof, btw. This isn’t even frontier work yet, just some unusual thinking. I’ll test some frontier stuff throughout the rest of the week. I’m willing to go back to Fable 5.1 if needed; it’s still a good colleague. https://t.co/5n29wfZSDb
- Fable 5.2 declared “task complete in 30 trials. It was right once. Every false claim came after real progress, so the work looked finished, which makes it harder to catch. Fable 5.2 made more false claims than any other Claude model: 29, against 11 for Fable 5.1, 3 for Claude …
Evidence
Coding 65.2 ±1.5
| Benchmark | Result | Source | Date |
|---|---|---|---|
| CursorBench | 51.8% | Epoch AI | 2026-11-11 |
| FrontierSWE | 56.3% | Epoch AI | 2026-11-11 |
| MirrorCode | 93.3% | Epoch AI | 2026-09-09 |
| IOI | 90.8% | Vals AI | 2026-10-29 |
| SWE-bench Multimodal | 61.3% | Vals AI | 2026-11-09 |
| SciCode | 63.1% | Epoch AI | 2026-11-11 |
| LiveCodeBench (Vals run) | 90.5% | Vals AI | 2026-09-01 |
| ProgramBench | 7.0% | Vals AI | 2026-11-09 |
Agents 63.3 ±1.0
| Benchmark | Result | Source | Date |
|---|---|---|---|
| SRE Bench | 22.9% | Vals AI | 2026-11-05 |
| Terminal-Bench-Science | 40.0% | Vals AI | 2026-11-09 |
| Terminal-Bench 4 | 57.3% | Terminal-Bench | 2026-09-01 |
| Terminal-Bench 4.0 (Vals run) | 58.1% | Vals AI | 2026-11-09 |
| EMB v1.1 (Excel financial modeling) | 76.7% | Vals AI | 2026-11-09 |
| Tax Agent Bench | 50.7% | Vals AI | 2026-11-09 |
| SkillsBench | 61.6% | Vals AI | 2026-10-29 |
| CyberBench v1.1 | 70.4% | Vals AI | 2026-11-05 |
Reasoning 66.5 ±1.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| MysteryMechanism | 47.7% | Vals AI | 2026-11-09 |
| ARC-AGI-2 | 90.0% | Epoch AI | 2026-11-11 |
| ARC-AGI-2 (ARC Prize verified) | 90.0% | ARC Prize | 2026-11-11 |
| GPQA Diamond (Vals run) | 93.4% | Vals AI | 2026-09-01 |
| CritPt | 29.7% | Epoch AI | 2026-11-11 |
| ARC-AGI-1 (ARC Prize verified) | 97.5% | ARC Prize | 2026-11-11 |
| ARC-AGI-1 | 97.5% | Epoch AI | 2026-11-11 |
| Chess Puzzles | 48.0% | Epoch AI | 2026-10-13 |
| Mystery Game Puzzles | 58.0% | Epoch AI | 2026-09-01 |
Math 66.4 ±1.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| FrontierMath Tiers 1-3 | 90.2% | Epoch AI | 2026-09-01 |
| FrontierMath Tier 4 | 87.8% | Epoch AI | 2026-09-01 |
| OTIS Mock AIME 2024-2025 | 100.0% | Epoch AI | 2026-09-01 |
| ProofBench v1.1 | 100.0% | Vals AI | 2026-11-09 |
| ProofBench | 100.0% | Epoch AI | 2026-11-11 |
Knowledge 65.7 ±3.6
| Benchmark | Result | Source | Date |
|---|---|---|---|
| SimpleQA Verified | 70.8% | Epoch AI | 2026-09-01 |
| MMLU-Pro (Vals run) | 92.4% | Vals AI | 2026-09-01 |
| Legal Research Bench | 55.3% | Vals AI | 2026-11-09 |
Frontend 63.2 ±0.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| Vibe Code Bench v1.1 | 90.3% | Vals AI | 2026-11-09 |
| LMArena WebDev | 1,742 | LMArena | 2026-11-10 |
General 63.0 ±4.1
| Benchmark | Result | Source | Date |
|---|---|---|---|
| LMArena Text | 1,503 | LMArena | 2026-11-09 |
Multimodal 63.8 ±2.3
| Benchmark | Result | Source | Date |
|---|---|---|---|
| MMMU-Pro (Vals run) | 90.6% | Vals AI | 2026-09-01 |
| LMArena Vision | 1,289 | LMArena | 2026-11-09 |
Names matched to this model
claude-fable-5-1-max