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Mercury 2.5 (low) vs Mistral Small 4

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 $0.022. Mistral Small 4 is faster at 1.20s vs 1.35s, with pass rates of 39.4% vs 25.8%.

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
#261
Total Output Tokens
9,812
Response Time (avg)
1.20s
Total Cost
$0.022
Recommended model Mistral Small 4

It has the strongest score in this comparison (5.1) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 low Release: 2026-09-08 Mistral Small 4 Mistral Small 4 none Release: 2026-03-16
Score 5.1 5.1
Rank #265 #261
Reliability 9.8 10.0
Consistency 8.1 9.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 39.4% 25.8%
Flaky tests 5 1
Total Runs 66 66
Cost per result 0.177 0.432
Total Cost $0.011 $0.022
Input Price $0.040 / 1M $0.150 / 1M
Output Price $0.150 / 1M $0.600 / 1M
Total Input Tokens 138,020 104,717
Output Tokens 6,083 9,812
Reasoning Tokens 27,636 0
Response Time (avg) 1.35s 1.20s
Response Time (max) 7.48s 13.16s
Response Time (total) 29.74s 26.41s
Parameters ~100B 119B total (6B active)
Availability Closed Open source

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

#261 Mistral Small 4

none
Cost
$0.002
Time
10.4s
Tokens
2,370 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
Mistral Small 4 3.7 9.7 0.0% 0 901ms 7,636 619 0

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