Compare Models

Select models (max 7)
DeepSeek V4 Flash 0731Mistral Large 4
Benchmarks

Legal Research Bench *

DeepSeek V4 Flash 0731
0.00%± 3.19
(84/84)
Mistral Large 4
0.00%± 3.23
(84/84)

Finance Agent v2.1 *

DeepSeek V4 Flash 0731
N/A
Mistral Large 4
0.00%± 2.02
(30/30)

Tax Agent Bench *

DeepSeek V4 Flash 0731
0.00%± 3.16
(75/75)
Mistral Large 4
0.00%± 3.31
(75/75)

MedCode *

DeepSeek V4 Flash 0731
0.00%± 2.15
(107/107)
Mistral Large 4
0.00%± 2.17
(107/107)

Terminal-Bench-Science

DeepSeek V4 Flash 0731
0.00%± 2.44
(42/42)
Mistral Large 4
N/A

Terminal-Bench 4.0

DeepSeek V4 Flash 0731
0.00%± 3.54
(54/54)
Mistral Large 4
0.00%± 1.82
(54/54)

Vibe Code Bench v1.1 *

DeepSeek V4 Flash 0731
0.00%± 3.44
(118/118)
Mistral Large 4
0.00%± 3.55
(118/118)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law

2026-10-22

Comparison by Industry

Model performance on different sections of the economy.

Legal
54.00%
24.62%
Finance
49.38%
53.58%
Healthcare
60.89%
60.56%
Math
56.00%
10.00%
Science
34.37%
39.60%
Academic
88.05%
N/A
Coding
50.41%
39.77%
Cyber
72.08%
N/A

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
N/A
Input Cost/ 1M Tokens
$0.44
$1.36
Input Cache Read/ 1M Tokens
$0.014
$0.14
Output Cost/ 1M Tokens
$1.32
$4.18

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
MistralMistral AI
LatencyN/AN/A
Cost (In/Out)$0.44 / $1.32$1.36 / $4.18
Context Window1M512k
Max Output Token384k256k
Input Modality