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Claude Haiku 5.5 (max) vs Nemotron 3.5 Super VL (high)

The average score is effectively tied at 8.5 vs 8.4. Nemotron 3.5 Super VL (high) has the lower benchmark cost at $0.349 vs $0.509. Nemotron 3.5 Super VL (high) is faster at 49.88s vs 61.71s, with pass rates of 85.5% vs 82.6%.

Last updated at: 2026-10-16

Compared models

Rank
#80
Total Output Tokens
919,699
Response Time (avg)
61.71s
Total Cost
$0.509
Rank
#81
Total Output Tokens
608,283
Response Time (avg)
49.88s
Total Cost
$0.349
Recommended model Nemotron 3.5 Super VL (high)

It has the strongest score in this comparison (8.4) and the best overall balance of cost and response time across 2 models.

Detailed comparison

Metric Claude Haiku 5.5 Claude Haiku 5.5 max Release: 2026-10-07 Nemotron 3.5 Super VL Nemotron 3.5 Super VL high Release: 2026-10-15 Free Available
Score 8.5 8.4
Rank #80 #81
Reliability 10.0 9.9
Consistency 9.6 8.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 85.5% 82.6%
Flaky tests 1 6
Total Runs 69 69
Cost per result 2.677 2.324
Total Cost $0.509 $0.349
Input Price $0.100 / 1M $0.150 / 1M
Output Price $0.500 / 1M $0.500 / 1M
Cache Read Price $0.010 / 1M $0.020 / 1M
Cache Write Price $0.125 / 1M N/A
Total Input Tokens 487,516 296,001
Output Tokens 10,212 8,105
Reasoning Tokens 909,487 600,178
Response Time (avg) 61.71s 49.88s
Response Time (max) 288.94s 310.51s
Response Time (total) 1419.40s 1147.24s
Parameters ~50B 120B total (12B 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.

#80 Claude Haiku 5.5

max
OpenRouter returned no showcase content (finish_reason: error).
Cost
$0.000
Time
164.5s
Tokens
0 tok

#81 Nemotron 3.5 Super VL

high
Cost
$0.005
Time
25.6s
Tokens
9,076 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 55.87s 10,608 532 125,988
Nemotron 3.5 Super VL 8.4 7.4 88.9% 1 59.18s 7,623 352 133,374

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