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Nex-N2.6 (medium) vs Qwen3.8 Max (0902) (medium)

The average score is effectively tied at 9.0 vs 9.0. Nex-N2.6 (medium) has the lower benchmark cost at $0.169 vs $1.096. Qwen3.8 Max (0902) (medium) is faster at 30.42s vs 46.28s, with pass rates of 84.1% vs 84.1%.

Last updated at: 2026-11-13

Compared models

Rank
#62
Total Output Tokens
321,401
Response Time (avg)
46.28s
Total Cost
$0.169
Rank
#63
Total Output Tokens
92,998
Response Time (avg)
30.42s
Total Cost
$1.096
Recommended model Nex-N2.6 (medium)

It has the best score here (9.0), while costing about 6.5x less than Qwen3.8 Max (0902) (medium).

Detailed comparison

Metric Nex-N2.6 Nex-N2.6 medium Release: 2026-11-12 Qwen3.8 Max (0902) Qwen3.8 Max (0902) medium Release: 2026-09-07
Score 9.0 9.0
Rank #62 #63
Reliability 9.6 10.0
Consistency 8.7 9.3
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 84.1% 84.1%
Flaky tests 4 2
Total Runs 69 69
Cost per result 0.991 6.084
Total Cost $0.169 $1.096
Input Price $0.120 / 1M $2.000 / 1M
Output Price $0.400 / 1M $6.000 / 1M
Cache Read Price $0.024 / 1M $0.250 / 1M
Cache Write Price N/A $2.500 / 1M
Total Input Tokens 331,297 268,540
Output Tokens 6,763 7,499
Reasoning Tokens 314,638 85,499
Response Time (avg) 46.28s 30.42s
Response Time (max) 230.46s 168.09s
Response Time (total) 1064.55s 699.68s
Parameters 321B total (~18B active) 2.4T total (~100B active)
Availability Open source 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.

#62 Nex-N2.6

medium
Cost
$0.013
Time
286.3s
Tokens
31,435 tok

#63 Qwen3.8 Max (0902)

medium
Cost
$0.036
Time
108.3s
Tokens
5,980 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
Nex-N2.6 10.0 10.0 100.0% 0 49.24s 7,317 350 48,833
Qwen3.8 Max (0902) 8.4 7.4 88.9% 1 45.74s 7,893 551 20,628

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