Claude Fable 5.1: Price, Context, Benchmarks, and Release Details
Pillar breakdown
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- $10.00Anthropic models & pricingOfficial Claude API; lowest short-context on-demand tier; batch/cache/long-context rates excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Output price / 1M
- $50.00Anthropic models & pricingOfficial Claude API; lowest short-context on-demand tier; batch/cache/long-context rates excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Context window
- 1MAnthropic models & pricingOfficial Claude API; lowest short-context on-demand tier; batch/cache/long-context rates excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Max output
- 128KAnthropic models & pricingOfficial Claude API; lowest short-context on-demand tier; batch/cache/long-context rates excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Released
- Sep 1, 2026Anthropic models & pricingOfficial Claude API; lowest short-context on-demand tier; batch/cache/long-context rates excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, pdfmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
Benchmark results
50 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 97.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] anthropic-claude-fable-5-1-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 97.6 | reasoning |
| arc agi v1 public eval | 95.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] anthropic-claude-fable-5-1-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 95.5 | reasoning |
| arc agi v1 public eval | 99%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] anthropic-claude-fable-5-1-maxPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 99.0 | reasoning |
| arc agi v1 public eval | 96.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort. [variant] anthropic-claude-fable-5-1-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 96.6 | reasoning |
| arc agi v1 public eval | 98.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-1-xhighPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 98.8 | reasoning |
| arc agi v1 semi private | 96%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] anthropic-claude-fable-5-1-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 96.0 | reasoning |
| arc agi v1 semi private | 90%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] anthropic-claude-fable-5-1-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 90.0 | reasoning |
| arc agi v1 semi private | 97.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] anthropic-claude-fable-5-1-maxPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 97.5 | reasoning |
| arc agi v1 semi private | 94.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort. [variant] anthropic-claude-fable-5-1-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 94.5 | reasoning |
| arc agi v1 semi private | 96.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-1-xhighPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 96.5 | reasoning |
| arc agi v2 public eval | 94.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] anthropic-claude-fable-5-1-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 94.7 | reasoning |
| arc agi v2 public eval | 86.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] anthropic-claude-fable-5-1-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 86.0 | reasoning |
| arc agi v2 public eval | 98.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] anthropic-claude-fable-5-1-maxPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 98.3 | reasoning |
| arc agi v2 public eval | 87.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort. [variant] anthropic-claude-fable-5-1-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 87.5 | reasoning |
| arc agi v2 public eval | 99.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-1-xhighPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 99.2 | reasoning |
| arc agi v2 semi private | 88.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] anthropic-claude-fable-5-1-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 88.8 | reasoning |
| arc agi v2 semi private | 78.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] anthropic-claude-fable-5-1-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 78.3 | reasoning |
| arc agi v2 semi private | 90%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] anthropic-claude-fable-5-1-maxPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 90.0 | reasoning |
| arc agi v2 semi private | 86.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort. [variant] anthropic-claude-fable-5-1-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 86.3 | reasoning |
| arc agi v2 semi private | 90%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-1-xhighPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 90.0 | reasoning |
| frontiermath tier 4 v2 | 87.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 1, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 87.8 | math |
| frontiermath tiers 1 3 v2 | 90.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 1, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 90.2 | math |
| hle | 60.9%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] without tools; production safeguards with fallbackPublished Sep 1, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 60.9 | reasoning |
| hle scale | 46.5%Humanity’s Last ExamPotential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. [variant] Published Sep 3, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 46.5 | reasoning |
| hle tools | 65%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] with tools; production safeguards with fallbackPublished Sep 1, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 65.0 | reasoning |
| livebench coding code completion 2026_06_25 | 82.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 82.6 | coding |
| livebench coding code generation 2026_06_25 | 90.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 90.1 | coding |
| livebench coding javascript 2026_06_25 | 68.2%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 68.2 | coding |
| livebench coding python 2026_06_25 | 70%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 70.0 | coding |
| livebench coding typescript 2026_06_25 | 60%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 60.0 | coding |
| livebench math amps hard 2026_06_25 | 99%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.0 | math |
| livebench math integrals with game 2026_06_25 | 99%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.0 | math |
| livebench math math comp 2026_06_25 | 97.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 97.1 | math |
| livebench math olympiad 2026_06_25 | 93.0%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 93.0 | math |
| livebench math simplify 2026_06_25 | 70.2%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 70.2 | math |
| livebench reasoning connections 2026_06_25 | 99.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.3 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 90.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 90.6 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 86%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 86.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 80.8%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.8 | reasoning |
| livebench reasoning zebra puzzle 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| lmarena text | 1510.6 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 82.5 | preference |
| otis mock aime 2024 2025 | 100%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 1, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 100.0 | math |
| terminal bench v0 1 | 52.6%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] production safeguards with fallback; 0.1Published Sep 1, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 52.6 | coding |
| terminal bench v4 0 | 55.8%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] production safeguards with fallback; 4.0Published Sep 1, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 55.8 | coding |
| terminal bench v4 0 | 54.5%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; highPublished Sep 17, 2026
Retrieved Oct 9, 2026 · Apache-2.0; factual citation Open source ↗ | 54.5 | coding |
| terminal bench v4 0 | 43.3%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; lowPublished Sep 17, 2026
Retrieved Oct 9, 2026 · Apache-2.0; factual citation Open source ↗ | 43.3 | coding |
| terminal bench v4 0 | 57.9%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; maxPublished Sep 3, 2026
Retrieved Oct 9, 2026 · Apache-2.0; factual citation Open source ↗ | 57.9 | coding |
| terminal bench v4 0 | 53.9%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; mediumPublished Sep 17, 2026
Retrieved Oct 9, 2026 · Apache-2.0; factual citation Open source ↗ | 53.9 | coding |
| terminal bench v4 0 | 57.9%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; xhighPublished Sep 17, 2026
Retrieved Oct 9, 2026 · Apache-2.0; factual citation Open source ↗ | 57.9 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (7)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- Humanity’s Last Exam · arrived Oct 8, 2026
- Official model cards via models.dev · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- Terminal-Bench · arrived Oct 8, 2026
pending Awaiting (0)
Every expected source has reported for this model.
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.