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Mistral Large 4 (low) vs GPT-6 Luna (high)

GPT-6 Luna (high) leads on average score with 7.7 vs 7.6. GPT-6 Luna (high) has the lower benchmark cost at $0.074 vs $1.648. GPT-6 Luna (high) is faster at 20.37s vs 300.15s, with pass rates of 65.2% vs 73.9%.

Last updated at: 2026-10-06

Compared models

Rank
#119
Total Output Tokens
714,287
Response Time (avg)
300.15s
Total Cost
$1.648
Rank
#114
Total Output Tokens
101,587
Response Time (avg)
20.37s
Total Cost
$0.074
Recommended model GPT-6 Luna (high)

It has the best score here (7.7), while costing about 22.3x less than Mistral Large 4 (low).

Detailed comparison

Metric Mistral Large 4 Mistral Large 4 low Release: 2026-10-06 GPT-6 Luna GPT-6 Luna high Release: 2026-09-23
Score 7.6 7.7
Rank #119 #114
Reliability 9.0 10.0
Consistency 8.7 8.7
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 65.2% 73.9%
Flaky tests 4 4
Total Runs 69 69
Cost per result 12.670 0.492
Total Cost $1.648 $0.074
Input Price $0.680 / 1M $0.100 / 1M
Output Price $2.090 / 1M $0.500 / 1M
Cache Read Price $0.070 / 1M $0.010 / 1M
Cache Write Price N/A $0.125 / 1M
Total Input Tokens 226,734 229,986
Output Tokens 278,013 6,037
Reasoning Tokens 638,296 95,550
Response Time (avg) 300.15s 20.37s
Response Time (max) 1798.01s 106.93s
Response Time (total) 6903.40s 468.52s
Parameters 1.05T total (49B active) ~400B total (~17B 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.

#119 Mistral Large 4

low
Cost
$0.015
Time
115.1s
Tokens
6,915 tok

#114 GPT-6 Luna

high
Cost
$0.003
Time
49.2s
Tokens
5,231 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 1379.72s 5,896 129,426 386,126
GPT-6 Luna 7.8 7.4 77.8% 1 24.69s 7,302 483 15,691

Quick Compare

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