Claude Fable 5: Price, Context, Benchmarks, and Release Details
76.8
SI Score (method si-v2-absolute-shrinkage-1)
#4 of 115 ranked
100% confidence 100 percent, Full confidence — 6 of 7 expected sources in
Coverage 87% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 70.2
Math (weight 15 percent) 91.0
Preference (weight 15 percent) 81.1
Reasoning (weight 30 percent) 89.4
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
- not yet reported
- Output price / 1M
- not yet reported
- Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Max output
- 128Kmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Released
- Jun 9, 2026models.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, pdfmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗
Benchmark results
51 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 98%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-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 98.0 | reasoning |
| arc agi v1 public eval | 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 'low' reasoning effort. [variant] anthropic-claude-fable-5-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 96.5 | reasoning |
| 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 'max' reasoning effort. [variant] anthropic-claude-fable-5-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.6 | reasoning |
| arc agi v1 public eval | 98%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-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 98.0 | reasoning |
| arc agi v1 public eval | 97.9%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-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.9 | reasoning |
| arc agi v1 semi private | 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 'high' reasoning effort. [variant] anthropic-claude-fable-5-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 95.5 | reasoning |
| arc agi v1 semi private | 90.5%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-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 90.5 | reasoning |
| arc agi v1 semi private | 98.5%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-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 98.5 | reasoning |
| arc agi v1 semi private | 92.5%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-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v1 semi private | 98.5%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-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 98.5 | reasoning |
| arc agi v2 public eval | 93.9%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-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 93.9 | reasoning |
| arc agi v2 public eval | 80.4%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-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 80.4 | reasoning |
| arc agi v2 public eval | 96.4%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-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 96.4 | 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-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 87.5 | reasoning |
| arc agi v2 public eval | 93.3%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 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 93.3 | reasoning |
| arc agi v2 semi private | 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 'high' reasoning effort. [variant] anthropic-claude-fable-5-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 87.5 | reasoning |
| arc agi v2 semi private | 76.8%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 'low' reasoning effort. [variant] anthropic-claude-fable-5-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 76.8 | reasoning |
| arc agi v2 semi private | 89.2%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 'max' reasoning effort. [variant] anthropic-claude-fable-5-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 89.2 | reasoning |
| arc agi v2 semi private | 82.5%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-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 82.5 | reasoning |
| arc agi v2 semi private | 88.3%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 'xhigh' reasoning effort. [variant] anthropic-claude-fable-5-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 88.3 | reasoning |
| frontiermath tier 4 v2 | 90.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jun 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 90.2 | math |
| frontiermath tiers 1 3 v2 | 87.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jun 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 87.0 | math |
| gpqa diamond | 83.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Aug 6, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 83.3 | reasoning |
| gpqa diamond | 78.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 6, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 78.8 | reasoning |
| gpqa diamond | 85.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Aug 6, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 85.9 | reasoning |
| hle | 59%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] no toolsPublished Jun 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 59.0 | reasoning |
| hle tools | 64.5%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] with toolsPublished Jun 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 64.5 | reasoning |
| livebench coding code completion 2026_06_25 | 80.4%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.4 | coding |
| livebench coding code generation 2026_06_25 | 91.5%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 91.5 | 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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 68.2 | coding |
| livebench coding python 2026_06_25 | 65%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 65.0 | coding |
| livebench coding typescript 2026_06_25 | 53.3%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 53.3 | 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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.0 | math |
| livebench math integrals with game 2026_06_25 | 97%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 97.0 | math |
| livebench math math comp 2026_06_25 | 95.1%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 95.1 | math |
| livebench math olympiad 2026_06_25 | 92.8%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 92.8 | math |
| livebench math simplify 2026_06_25 | 72.0%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 72.0 | 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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.3 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 91.4%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 91.4 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 78%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 78.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 96%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 84.6%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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 84.6 | 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 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| lmarena text | 1491.7 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 8, 2026 · CC-BY-4.0 Open source ↗ | 81.1 | preference |
| otis mock aime 2024 2025 | 100%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Aug 6, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 100.0 | math |
| otis mock aime 2024 2025 | 97.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 6, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 97.8 | math |
| otis mock aime 2024 2025 | 99.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jun 10, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 99.7 | math |
| swe bench pro | 80.3%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] Published Jun 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 80.3 | coding |
| swe bench verified | 95%Official model cards via models.devLab-reported; metric resolved; transcribed by MIT models.dev catalog; not independently evaluated [variant]
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 95.0 | coding |
| terminal bench v2 1 | 88%Official model cards via models.devLab-reported; metric success rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] 2.1Published Jun 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 88.0 | coding |
| terminal bench v4 0 | 44.5%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; maxPublished Sep 3, 2026
Retrieved Oct 8, 2026 · Apache-2.0; factual citation Open source ↗ | 44.5 | 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 (6)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · 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 (1)
- Humanity’s Last Exam · carries 13% of expected weight
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.