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Mercury 2.5 (low) vs Nemotron 3.5 Lightning (medium)

The average score is effectively tied at 5.1 vs 5.1. Mercury 2.5 (low) has the lower benchmark cost at $0.011 vs $0.156. Mercury 2.5 (low) is faster at 1.35s vs 70.11s, with pass rates of 39.4% vs 48.5%.

Last updated at: 2026-09-08

Compared models

Rank
#265
Total Output Tokens
33,719
Response Time (avg)
1.35s
Total Cost
$0.011
Rank
#260
Total Output Tokens
760,441
Response Time (avg)
70.11s
Total Cost
$0.156
Recommended model Mercury 2.5 (low)

It has the best score here (5.1), while costing about 14.7x less than Nemotron 3.5 Lightning (medium).

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 low Release: 2026-09-08 Nemotron 3.5 Lightning Nemotron 3.5 Lightning medium Release: 2026-08-11 Free Available
Score 5.1 5.1
Rank #265 #260
Reliability 9.8 9.9
Consistency 8.1 6.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 39.4% 48.5%
Flaky tests 5 11
Total Runs 66 66
Cost per result 0.177 0.000
Total Cost $0.011 $0.156
Input Price $0.040 / 1M $0.080 / 1M
Output Price $0.150 / 1M $0.200 / 1M
Total Input Tokens 138,020 126,330
Output Tokens 6,083 165,702
Reasoning Tokens 27,636 594,739
Response Time (avg) 1.35s 70.11s
Response Time (max) 7.48s 437.11s
Response Time (total) 29.74s 1542.52s
Parameters ~100B 30B total (3B active)
Availability Closed Weights available

Model generation showcase

Hamster playing table tennis

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

#265 Mercury 2.5

low
Cost
$0.001
Time
2.4s
Tokens
1,236 tok

#260 Nemotron 3.5 Lightning

medium
Cost
$0.000
Time
130.5s
Tokens
6,750 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
Mercury 2.5 5.5 10.0 33.3% 0 972ms 7,909 521 2,269
Nemotron 3.5 Lightning 4.4 5.1 33.3% 2 285.47s 7,623 78,065 297,359

Quick Compare

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