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Dots 3 Note Preview (medium) vs Mistral Large 4

Dots 3 Note Preview (medium) leads on average score with 5.7 vs 5.5. Dots 3 Note Preview (medium) has the lower benchmark cost at $0.000 vs $0.353. Mistral Large 4 is faster at 28.46s vs 70.32s, with pass rates of 58.0% vs 30.4%.

Last updated at: 2026-10-06

Compared models

Rank
#267
Total Output Tokens
710,627
Response Time (avg)
70.32s
Total Cost
$0.000
Rank
#274
Total Output Tokens
84,218
Response Time (avg)
28.46s
Total Cost
$0.353
Recommended model Mistral Large 4

Its score stays close to the best score here (5.5 vs 5.7), while responding about 2.5x faster than Dots 3 Note Preview (medium).

Detailed comparison

Metric Dots 3 Note Preview Dots 3 Note Preview medium Release: 2026-08-14 Free Available Mistral Large 4 Mistral Large 4 none Release: 2026-10-06
Score 5.7 5.5
Rank #267 #274
Reliability 10.0 9.9
Consistency 6.9 8.8
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 58.0% 30.4%
Flaky tests 9 4
Total Runs 69 69
Cost per result 0.000 7.044
Total Cost $0.000 $0.353
Input Price $0.000 / 1M $0.680 / 1M
Output Price $0.000 / 1M $2.090 / 1M
Cache Read Price N/A $0.070 / 1M
Cache Write Price N/A N/A
Total Input Tokens 208,598 259,048
Output Tokens 120,583 84,218
Reasoning Tokens 590,044 0
Response Time (avg) 70.32s 28.46s
Response Time (max) 459.19s 385.10s
Response Time (total) 1617.43s 654.47s
Parameters 280B total (16B active) 1.05T total (49B 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.

#267 Dots 3 Note Preview

medium
Cost
$0.000
Time
585.4s
Tokens
12,198 tok

#274 Mistral Large 4

none
Cost
$0.004
Time
26.7s
Tokens
1,923 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
Dots 3 Note Preview 4.2 5.1 33.3% 2 309.15s 7,368 29,392 373,137
Mistral Large 4 5.4 7.8 22.2% 1 153.02s 7,431 62,517 0

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