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Claude Haiku 5.5 (xhigh) vs GPT-6 Luna (high)

Claude Haiku 5.5 (xhigh) leads on average score with 9.1 vs 7.7. GPT-6 Luna (high) has the lower benchmark cost at $0.074 vs $0.140. Claude Haiku 5.5 (xhigh) is faster at 16.58s vs 20.37s, with pass rates of 81.2% vs 73.9%.

Last updated at: 2026-10-07

Compared models

Rank
#35
Total Output Tokens
199,268
Response Time (avg)
16.58s
Total Cost
$0.140
Rank
#118
Total Output Tokens
101,587
Response Time (avg)
20.37s
Total Cost
$0.074
Recommended model Claude Haiku 5.5 (xhigh)

It has the strongest score in this comparison (9.1) and the best overall balance of cost and response time across 2 models.

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 xhigh Release: 2026-10-07 GPT-6 Luna GPT-6 Luna high Release: 2026-09-23
Score 9.1 7.7
Rank #35 #118
Reliability 10.0 10.0
Consistency 9.3 8.7
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 81.2% 73.9%
Flaky tests 2 4
Total Runs 69 69
Cost per result 0.773 0.492
Total Cost $0.140 $0.074
Input Price $0.100 / 1M $0.100 / 1M
Output Price $0.500 / 1M $0.500 / 1M
Cache Read Price $0.010 / 1M $0.010 / 1M
Cache Write Price $0.125 / 1M $0.125 / 1M
Total Input Tokens 394,509 229,986
Output Tokens 10,349 6,037
Reasoning Tokens 188,919 95,550
Response Time (avg) 16.58s 20.37s
Response Time (max) 92.74s 106.93s
Response Time (total) 381.40s 468.52s
Parameters ~50B ~400B total (~17B 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.

#35 Claude Haiku 5.5

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

#118 GPT-6 Luna

high
Cost
$0.003
Time
49.2s
Tokens
5,231 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
GPT-6 Luna 7.8 7.4 77.8% 1 24.69s 7,302 483 15,691

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