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Claude Haiku 5.5 (xhigh) vs Nex-N2.6 (medium)

Claude Haiku 5.5 (xhigh) leads on average score with 9.1 vs 9.0. Claude Haiku 5.5 (xhigh) has the lower benchmark cost at $0.140 vs $0.169. Claude Haiku 5.5 (xhigh) is faster at 16.58s vs 46.28s, with pass rates of 81.2% vs 84.1%.

Last updated at: 2026-11-13

Compared models

Rank
#51
Total Output Tokens
199,268
Response Time (avg)
16.58s
Total Cost
$0.140
Rank
#62
Total Output Tokens
321,401
Response Time (avg)
46.28s
Total Cost
$0.169
Recommended model Claude Haiku 5.5 (xhigh)

It has the best score here (9.1), while responding about 2.8x faster than Nex-N2.6 (medium).

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 xhigh Release: 2026-10-07 Nex-N2.6 Nex-N2.6 medium Release: 2026-11-12
Score 9.1 9.0
Rank #51 #62
Reliability 10.0 9.6
Consistency 9.3 8.7
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 81.2% 84.1%
Flaky tests 2 4
Total Runs 69 69
Cost per result 0.773 0.991
Total Cost $0.140 $0.169
Input Price $0.100 / 1M $0.120 / 1M
Output Price $0.500 / 1M $0.400 / 1M
Cache Read Price $0.010 / 1M $0.024 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 394,509 331,297
Output Tokens 10,349 6,763
Reasoning Tokens 188,919 314,638
Response Time (avg) 16.58s 46.28s
Response Time (max) 92.74s 230.46s
Response Time (total) 381.40s 1064.55s
Parameters ~50B 321B total (~18B active)
Availability Closed Open source

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.

#51 Claude Haiku 5.5

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

#62 Nex-N2.6

medium
Cost
$0.013
Time
286.3s
Tokens
31,435 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
Nex-N2.6 10.0 10.0 100.0% 0 49.24s 7,317 350 48,833

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