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Claude Fable 5.2 (xhigh) vs GPT-6 Astra (low)

Claude Fable 5.2 (xhigh) leads on average score with 9.6 vs 9.6. GPT-6 Astra (low) has the lower benchmark cost at $2.160 vs $10.319. GPT-6 Astra (low) is faster at 7.01s vs 33.44s, with pass rates of 94.2% vs 91.3%.

Last updated at: 2026-11-10

Compared models

Rank
#13
Total Output Tokens
188,726
Response Time (avg)
33.44s
Total Cost
$10.319
Rank
#15
Total Output Tokens
11,389
Response Time (avg)
7.01s
Total Cost
$2.160
Recommended model GPT-6 Astra (low)

Its score stays close to the best score here (9.6 vs 9.6), while costing about 4.8x less than Claude Fable 5.2 (xhigh).

Detailed comparison

Metric Claude Fable 5.2 Claude Fable 5.2 xhigh Release: 2026-11-09 GPT-6 Astra GPT-6 Astra low Release: 2026-09-04
Score 9.6 9.6
Rank #13 #15
Reliability 9.2 9.9
Consistency 9.6 10.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 94.2% 91.3%
Flaky tests 1 0
Total Runs 69 69
Cost per result 49.137 10.285
Total Cost $10.319 $2.160
Input Price $8.000 / 1M $10.000 / 1M
Output Price $40.000 / 1M $50.000 / 1M
Cache Read Price $0.200 / 1M $1.000 / 1M
Cache Write Price $10.000 / 1M $12.500 / 1M
Total Input Tokens 346,216 159,023
Output Tokens 10,245 4,935
Reasoning Tokens 178,481 6,454
Response Time (avg) 33.44s 7.01s
Response Time (max) 440.05s 49.16s
Response Time (total) 769.21s 161.20s
Parameters ~9.5T total (~878B active) ~2T total (~150B active)
Availability Closed Closed

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#13 Claude Fable 5.2

xhigh
Reached the allocated time limit (600 seconds) without receiving showcase output.
Cost
$0.000
Time
600.0s
Tokens
0 tok

#15 GPT-6 Astra

low
Invalid SVG
Cost
$0.151
Time
48.9s
Tokens
3,094 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 5.2 10.0 10.0 100.0% 0 12.97s 10,608 553 9,868
GPT-6 Astra 10.0 10.0 100.0% 0 3.97s 7,302 388 976

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