Claude Fable 5.1

Claude Fable 5.1 is a model from Anthropic, released September 1, 2026. Its best result is #1 of 26 on Immigration.

Release Date: Sep 1, 2026

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

Accuracy

63.29 %

Avg. Cost (In/Out)

$ 10.00 / $ 50.00

Latency

197 min 36 s

Vals Index
BenchmarksAccuracyRankings

36.09%

3/27

54.61%

ยฑ4.81
11/79

13.17%

3/9

70.42%

ยฑ5.43
22/48

76.73%

ยฑ2.13
2/42

58.88%

ยฑ2.06
9/81

75.44%

ยฑ1.40
1/26

63.33%

ยฑ0.00
3/13

55.29%

ยฑ3.46
4/94

53.51%

ยฑ2.17
8/107

91.29%

ยฑ1.95
2/109

70.79%

ยฑ0.90
2/98

47.75%

ยฑ3.36
5/31

100.00%

ยฑ0.00
4/53

5.83%

5/7

74.90%

ยฑ1.13
2/50

22.90%

ยฑ2.60
10/37

50.75%

ยฑ3.61
3/85

75.96%

ยฑ0.83
9/145

28.00%

ยฑ4.49
4/26

90.26%

ยฑ1.57
7/128

93.43%

ยฑ1.86
9/138

90.78%

ยฑ4.65
6/46

90.52%

ยฑ0.86
1/143

88.51%

ยฑ0.42
2/151

92.38%

ยฑ0.27
1/138

90.64%

ยฑ0.70
1/93

7.00%

ยฑ1.81
3/66

61.55%

ยฑ4.76
6/35

61.25%

ยฑ2.23
3/22

58.08%

ยฑ3.31
7/64

40.00%

ยฑ5.90
7/45
Proprietary BenchmarksAcademic BenchmarksIndustry Partners
Vals
Default Provider : Anthropic
Temperature: Default
Top P: Default
Top K: Default
Max Output Tokens: 128,000
Compute Effort: max

Compared with

Updates

Sep 4, 2026

We evaluated Claude Fable 5.1 on the RSI Index, our five-task benchmark of autonomous LLM research and development.

Fable 5.1 ranks #1 overall at 35.03%, ahead of the previous RSI-Index leader, Claude Opus 5, at 32.10%. It leads four of five tasks while costing $1,481, about 21% less than Opus 5โ€™s $1,886.

Sep 1, 2026

We evaluated Anthropicโ€™s new Claude Fable 5.1 across our benchmark suite.

Refusals remain frequent on bio- and cyber-adjacent tasks, so we ran Fable 5.1 with Claude Opus 5 and Claude Opus 4.8 as server-side fallbacks. Counting fallback-assisted tasks as failures changes Terminal-Bench 2.1 from 85.02% to 79.03% (23 of 267 tasks), the Vals Index from 67.87% to 66.85%, Legal Research Bench from 55.29% to 54.33%, and Harveyโ€™s Legal Agent Benchmark from 6.67% to 5.83%. The effect is largest on SRE Bench, where 195 of 262 tasks (74.43%) were fallback-assisted and the score falls from 22.90% to 10.69%.

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!