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Claude Haiku 5.5 (xhigh) vs Kimi K3.1 Pro (low)

Claude Haiku 5.5 (xhigh) leads on average score with 9.1 vs 8.8. Claude Haiku 5.5 (xhigh) has the lower benchmark cost at $0.140 vs $1.836. Claude Haiku 5.5 (xhigh) is faster at 16.58s vs 47.50s, with pass rates of 81.2% vs 81.2%.

Last updated at: 2026-10-24

Compared models

Rank
#39
Total Output Tokens
199,268
Response Time (avg)
16.58s
Total Cost
$0.140
Rank
#60
Total Output Tokens
139,158
Response Time (avg)
47.50s
Total Cost
$1.836
Recommended model Claude Haiku 5.5 (xhigh)

It has the best score here (9.1), while costing about 13.2x less than Kimi K3.1 Pro (low).

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 xhigh Release: 2026-10-07 Kimi K3.1 Pro Kimi K3.1 Pro low Release: 2026-10-24
Score 9.1 8.8
Rank #39 #60
Reliability 10.0 8.4
Consistency 9.3 8.9
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 81.2% 81.2%
Flaky tests 2 3
Total Runs 69 69
Cost per result 0.773 10.796
Total Cost $0.140 $1.836
Input Price $0.100 / 1M $2.000 / 1M
Output Price $0.500 / 1M $10.000 / 1M
Cache Read Price $0.010 / 1M $0.200 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 394,509 221,802
Output Tokens 10,349 12,498
Reasoning Tokens 188,919 126,660
Response Time (avg) 16.58s 47.50s
Response Time (max) 92.74s 506.95s
Response Time (total) 381.40s 1092.61s
Parameters ~50B ~2.8T total (~104B 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.

#39 Claude Haiku 5.5

xhigh
Cost
$0.021
Time
189.0s
Tokens
41,343 tok

#60 MoonshotAI: Kimi K3.1 Pro

low
fetch failed
Cost
$0.000
Time
10.7s
Tokens
0 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 Haiku 5.5 10.0 10.0 100.0% 0 13.13s 10,608 504 26,396
Kimi K3.1 Pro 10.0 10.0 100.0% 0 18.91s 8,070 468 7,531

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