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Mistral Small 4 vs Nemotron 3.5 Lightning (medium)

The average score is effectively tied at 5.1 vs 5.2. Mistral Small 4 has the lower benchmark cost at $0.022 vs $0.193. Mistral Small 4 is faster at 1.20s vs 69.64s, with pass rates of 25.8% vs 47.0%.

Last updated at: 2026-08-11

Rank
#209
Total Output Tokens
9,812
Response Time (avg)
1.20s
Total Cost
$0.022
Rank
#208
Total Output Tokens
741,084
Response Time (avg)
69.64s
Total Cost
$0.193
Recommended model Mistral Small 4

It has the best score here (5.1), while costing about 8.9x less than Nemotron 3.5 Lightning (medium).

Detailed comparison

Metric Mistral Small 4 Mistral Small 4 none Release: 2026-03-16 Nemotron 3.5 Lightning Nemotron 3.5 Lightning medium Release: 2026-08-11 Free Available
Score 5.1 5.2
Rank #209 #208
Reliability 10.0 9.9
Consistency 9.6 6.4
Benchmark coverage 22/22 tests · 66/66 attempts 22/22 tests · 66/66 attempts
Tests Correct
Attempt pass rate 25.8% 47.0%
Flaky tests 1 10
Total Runs 66 66
Cost per result 0.432 0.000
Total Cost $0.022 $0.193
Input Price $0.150 / 1M $0.100 / 1M
Output Price $0.600 / 1M $0.250 / 1M
Total Input Tokens 104,708 126,321
Output Tokens 9,812 156,554
Reasoning Tokens 0 584,530
Response Time (avg) 1.20s 69.64s
Response Time (max) 13.16s 437.11s
Response Time (total) 26.38s 1532.18s

Model generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#209 Mistral Small 4

none
Cost
$0.002
Time
10.4s
Tokens
2,370 tok

#208 Nemotron 3.5 Lightning

medium
No showcase result has been generated for this model yet.
Cost
$0.000
Time
-
Tokens
0 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
Mistral Small 4 3.7 9.7 0.0% 0 901ms 7,636 619 0
Nemotron 3.5 Lightning 4.4 5.1 33.3% 2 285.47s 7,623 78,065 297,359

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