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Claude Haiku 5.5 (medium) vs GLM 5.3 (high)

GLM 5.3 (high) leads on average score with 7.8 vs 7.7. Claude Haiku 5.5 (medium) has the lower benchmark cost at $0.063 vs $0.495. Claude Haiku 5.5 (medium) is faster at 7.71s vs 28.38s, with pass rates of 71.0% vs 75.4%.

Last updated at: 2026-10-07

Compared models

Rank
#120
Total Output Tokens
66,174
Response Time (avg)
7.71s
Total Cost
$0.063
Rank
#112
Total Output Tokens
68,482
Response Time (avg)
28.38s
Total Cost
$0.495
Recommended model Claude Haiku 5.5 (medium)

Its score stays close to the best score here (7.7 vs 7.8), while costing about 7.9x less than GLM 5.3 (high).

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 medium Release: 2026-10-07 GLM 5.3 GLM 5.3 high Release: 2026-08-20
Score 7.7 7.8
Rank #120 #112
Reliability 10.0 10.0
Consistency 7.5 7.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 71.0% 75.4%
Flaky tests 7 7
Total Runs 69 69
Cost per result 0.485 4.351
Total Cost $0.063 $0.495
Input Price $0.100 / 1M $0.070 / 1M
Output Price $0.500 / 1M $7.000 / 1M
Cache Read Price $0.010 / 1M $0.065 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 298,334 219,811
Output Tokens 10,328 8,811
Reasoning Tokens 55,846 59,671
Response Time (avg) 7.71s 28.38s
Response Time (max) 47.70s 159.91s
Response Time (total) 177.29s 652.78s
Parameters ~50B 744B total (40B 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.

#120 Claude Haiku 5.5

medium
Cost
$0.002
Time
17.2s
Tokens
3,524 tok

#112 GLM 5.3

high
Cost
$0.085
Time
362.5s
Tokens
19,310 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 6.3 4.8 66.7% 2 7.16s 10,608 518 11,415
GLM 5.3 6.6 5.0 66.7% 2 18.89s 7,317 473 8,190

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