Compare Models

Select models (max 7)
Gemini 3.5 FlashMistral Large 4
Benchmarks

Legal Research Bench *

Gemini 3.5 Flash
0.00%± 3.21
(84/84)
Mistral Large 4
0.00%± 3.23
(84/84)

Finance Agent v2.1 *

Gemini 3.5 Flash
N/A
Mistral Large 4
0.00%± 2.02
(30/30)

Tax Agent Bench *

Gemini 3.5 Flash
0.00%± 2.96
(75/75)
Mistral Large 4
0.00%± 3.31
(75/75)

MedCode *

Gemini 3.5 Flash
0.00%± 2.11
(107/107)
Mistral Large 4
0.00%± 2.17
(107/107)

Terminal-Bench-Science

Gemini 3.5 Flash
0.00%± 2.79
(42/42)
Mistral Large 4
N/A

Terminal-Bench 4.0

Gemini 3.5 Flash
0.00%± 1.51
(54/54)
Mistral Large 4
0.00%± 1.82
(54/54)

Vibe Code Bench v1.1 *

Gemini 3.5 Flash
0.00%± 4.73
(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
57.19%
24.62%
Finance
54.71%
53.58%
Healthcare
66.20%
60.56%
Math
31.00%
10.00%
Science
5.71%
39.60%
Academic
90.15%
N/A
Education
49.88%
N/A
Coding
45.65%
39.77%
Social Mobility
59.47%
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
$1.50
$1.36
Input Cache Read/ 1M Tokens
$0.15
$0.14
Output Cost/ 1M Tokens
$9.00
$4.18

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
MistralMistral AI
LatencyN/AN/A
Cost (In/Out)$1.5 / $9$1.36 / $4.18
Context Window1M512k
Max Output Token66k256k
Input Modality