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Claude Haiku 5.5 (low) vs Kimi K2.7 Code (medium)

Claude Haiku 5.5 (low) leads on average score with 8.6 vs 7.0. Claude Haiku 5.5 (low) has the lower benchmark cost at $0.061 vs $1.136. Claude Haiku 5.5 (low) is faster at 7.51s vs 81.18s, with pass rates of 76.8% vs 60.9%.

Last updated at: 2026-10-19

Compared models

Rank
#75
Total Output Tokens
61,650
Response Time (avg)
7.51s
Total Cost
$0.061
Rank
#187
Total Output Tokens
207,661
Response Time (avg)
81.18s
Total Cost
$1.136
Recommended model Claude Haiku 5.5 (low)

It has the best score here (8.6), while costing about 18.8x less than Kimi K2.7 Code (medium).

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 low Release: 2026-10-07 Kimi K2.7 Code Kimi K2.7 Code medium Release: 2026-06-12
Score 8.6 7.0
Rank #75 #187
Reliability 10.0 10.0
Consistency 8.9 8.1
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 76.8% 60.9%
Flaky tests 3 5
Total Runs 69 69
Cost per result 0.378 8.755
Total Cost $0.061 $1.136
Input Price $0.100 / 1M $0.672 / 1M
Output Price $0.500 / 1M $3.350 / 1M
Cache Read Price $0.010 / 1M $0.180 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 296,301 245,179
Output Tokens 10,672 62,697
Reasoning Tokens 50,978 196,621
Response Time (avg) 7.51s 81.18s
Response Time (max) 44.43s 365.80s
Response Time (total) 172.74s 1785.87s
Parameters ~50B 1T total (32B active)
Availability Closed Weights available

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.

#75 Claude Haiku 5.5

low
Cost
$0.001
Time
7.4s
Tokens
1,851 tok

#187 MoonshotAI: Kimi K2.7 Code

medium
Cost
$0.025
Time
138.0s
Tokens
6,093 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 7.9 7.5 77.8% 1 7.30s 10,608 531 11,618
Kimi K2.7 Code 7.8 9.3 66.7% 0 146.73s 4,650 1,864 25,635

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