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Claude Fable 5.1 (high) vs Seed 2.1 Turbo (low)

Seed 2.1 Turbo (low) leads on average score with 9.1 vs 9.0. Seed 2.1 Turbo (low) has the lower benchmark cost at $1.546 vs $3.364. Claude Fable 5.1 (high) is faster at 13.59s vs 163.90s, with pass rates of 89.4% vs 80.3%.

Last updated at: 2026-09-02

Rank
#18
Total Output Tokens
40,071
Response Time (avg)
13.59s
Total Cost
$3.364
Rank
#16
Total Output Tokens
597,236
Response Time (avg)
163.90s
Total Cost
$1.546
Recommended model Claude Fable 5.1 (high)

Its score stays close to the best score here (9.0 vs 9.1), while responding about 12.1x faster than Seed 2.1 Turbo (low).

Detailed comparison

Metric Claude Fable 5.1 Claude Fable 5.1 high Release: 2026-09-02 Seed 2.1 Turbo Seed 2.1 Turbo low Release: 2026-08-12
Score 9.0 9.1
Rank #18 #16
Reliability 10.0 10.0
Consistency 9.6 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 89.4% 80.3%
Flaky tests 1 2
Total Runs 66 66
Cost per result 17.701 9.091
Total Cost $3.364 $1.546
Input Price $10.000 / 1M $0.500 / 1M
Output Price $50.000 / 1M $2.500 / 1M
Total Input Tokens 135,958 104,464
Output Tokens 7,930 6,844
Reasoning Tokens 32,141 590,392
Response Time (avg) 13.59s 163.90s
Response Time (max) 40.17s 739.98s
Response Time (total) 298.90s 3605.87s
Parameters ~9.5T total (~878B active) ~200B total (~20B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#18 Claude Fable 5.1

high
Cost
$0.384
Time
102.5s
Tokens
7,824 tok

#16 Seed 2.1 Turbo

low
Cost
$0.049
Time
298.8s
Tokens
19,730 tok

Top Models by Score

Score vs Total Cost

Response Time (avg)

Score vs Response Time (avg)

Total Output Tokens

Score vs Total Output Tokens

Category Breakdown

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
Claude Fable 5.1 8.4 7.4 88.9% 1 13.91s 10,608 520 6,503
Seed 2.1 Turbo 10.0 10.0 100.0% 0 360.85s 8,220 385 207,368

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