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Mistral Large 4 (medium) vs GPT-6.1 Sol (low)

GPT-6.1 Sol (low) leads on average score with 9.6 vs 6.2. GPT-6.1 Sol (low) has the lower benchmark cost at $0.460 vs $1.456. GPT-6.1 Sol (low) is faster at 7.15s vs 265.03s, with pass rates of 55.1% vs 92.8%.

Last updated at: 2026-10-06

Compared models

Rank
#240
Total Output Tokens
627,233
Response Time (avg)
265.03s
Total Cost
$1.456
Rank
#16
Total Output Tokens
13,138
Response Time (avg)
7.15s
Total Cost
$0.460
Recommended model GPT-6.1 Sol (low)

It has the best score here (9.6), while costing about 3.2x less than Mistral Large 4 (medium).

Detailed comparison

Metric Mistral Large 4 Mistral Large 4 medium Release: 2026-10-06 GPT-6.1 Sol GPT-6.1 Sol low Release: 2026-09-29
Score 6.2 9.6
Rank #240 #16
Reliability 9.2 10.0
Consistency 7.6 9.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 55.1% 92.8%
Flaky tests 7 1
Total Runs 69 69
Cost per result 16.168 2.187
Total Cost $1.456 $0.460
Input Price $0.680 / 1M $2.000 / 1M
Output Price $2.090 / 1M $10.000 / 1M
Cache Read Price $0.070 / 1M $0.100 / 1M
Cache Write Price N/A $2.500 / 1M
Total Input Tokens 212,024 163,900
Output Tokens 166,422 4,958
Reasoning Tokens 562,095 8,180
Response Time (avg) 265.03s 7.15s
Response Time (max) 1760.20s 46.57s
Response Time (total) 6095.69s 164.47s
Parameters 1.05T total (49B active) ~2T total (~150B active)
Availability Closed 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.

#240 Mistral Large 4

medium
Cost
$0.011
Time
63.4s
Tokens
5,291 tok

#16 GPT-6.1 Sol

low
Cost
$0.028
Time
44.6s
Tokens
2,881 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 Large 4 3.4 7.2 22.2% 1 1201.87s 7,189 33,530 303,140
GPT-6.1 Sol 10.0 10.0 100.0% 0 4.48s 7,302 388 1,286

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