Release Date: Jun 9, 2026

Developer Anthropicย ๐Ÿ‡บ๐Ÿ‡ธ
Context Window 1M
Max Output Tokens 128k
Token Costs (in/out) $10.00/50.00
Weights Private
Input Modalities

Accuracy

66.04 % ยฑ 1.03

Cost / Test (Vals Index)

$ 28.80

Latency

37 min 51 s

Vals Index
BenchmarksAccuracyRankings

0.0%

ยฑ1.03
2/46

0.0%

ยฑ4.61
2/49

0.0%

ยฑ2.47
1/46

0.0%

ยฑ0.84
6/49

0.0%

ยฑ3.48
2/49

0.0%

ยฑ2.20
3/85

0.0%

ยฑ1.95
4/84

0.0%

ยฑ0.91
7/95

0.0%

ยฑ2.18
2/23

0.0%

ยฑ3.40
7/76

0.0%

ยฑ1.19
2/30

0.0%

ยฑ0.82
5/140

0.0%

ยฑ2.10
1/84

0.0%

ยฑ1.94
8/133

0.0%

ยฑ9.36
5/62

0.0%

ยฑ0.89
1/138

0.0%

ยฑ0.33
1/137

0.0%

ยฑ0.28
2/133

0.0%

ยฑ0.74
2/89

0.0%

ยฑ0.99
2/39

0.0%

ยฑ0.98
5/83

0.0%

ยฑ1.35
4/54
Proprietary BenchmarksAcademic BenchmarksIndustry Partners
Vals
Default Provider : Anthropic
Temperature: 1
Top P: Default
Top K: Default
Max Output Tokens: 128,000
Compute Effort: max

Updates

Jun 9, 2026

  • We evaluated Anthropicโ€™s new Claude Fable 5 across our benchmark suite. It resets the top of the leaderboard, taking #1 on the Vals Index (75.15%) and the Vals Multimodal Index (74.15%).

  • Fable 5 topped most of the suite: #1 on CorpFin v2 (71.83%), MedScribe (88.52%), LegalBench (88.56%), MMLU Pro (91.50%), MMMU (89.31%), and ProofBench (77.00%).

  • Coding is the headline. Claude Fable 5 is #1 on every coding benchmark with a scored Fable 5 result: Vibe Code Bench (90.35%), SWE-bench Verified (95.00%), Terminal-Bench 2.1 (80.52%), LiveCodeBench (89.78%), and IOI (72.25%).

  • Vibe Code Bench is the standout: Anthropic now holds the top three spots, and Fable 5 leads the best non-Anthropic model by more than 20 points. Six months ago, no model cracked 20% on this benchmark; Fable 5 now reaches 90.35%.

  • Compared with Claude Opus 4.8, Fable 5 improves by roughly 5 points on the Vals Index and roughly 8 points on Vibe Code Bench, even though Opus 4.8 took #1 just a week ago.

The API showed a high rate of refusals, especially on bio and cyber-related questions. Because of this, we ran Fable 5 with Claude Opus 4.8 as a fallback: if Fable 5 refused a task, Opus 4.8 handled the request instead. This mainly affected Terminal-Bench 2.1, GPQA, MMLU Pro, and MMMU.

The model has a 1M-token context window and 128k max output tokens. Evaluations were run with compute effort set to โ€œmaxโ€ and temperature set to 1.0.

Congrats to the Anthropic team on the release!