Compare Models

Select models (max 5)
Magistral Medium 1.2 (09/2025)Gemini 4 Argon
Benchmarks

Vals Index *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 0.97
(43/43)

Legal Research Bench *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 3.46
(73/73)

Finance Agent (v2) *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 0.32
(74/74)

Tax Agent Bench *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 2.87
(65/65)

MedCode *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 2.10
(104/104)

Terminal-Bench Science

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 5.98
(38/38)

Code Migration *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 4.35
(73/73)

Terminal-Bench 4.0

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 2.31
(43/43)

Vibe Code Bench v1.1 *

Magistral Medium 1.2 (09/2025)
N/A
Gemini 4 Argon
0.00%± 1.90
(108/108)

Overall performance

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

2026-10-02

Comparison by Industry

Model performance on different sections of the economy.

Legal
54.77%
54.23%
Finance
56.90%
72.29%
Healthcare
N/A
73.11%
Math
N/A
99.00%
Science
N/A
55.36%
Academic
65.20%
N/A
Education
N/A
53.65%
Coding
74.86%
64.03%
Cyber
N/A
61.07%
Social Mobility
N/A
69.76%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$15.68
Cost / TestVals Index
N/A
$15.68
Input Cost/ 1M Tokens
$2.00
$4.00
Input Cache Read/ 1M Tokens
$0.20
$0.20
Output Cost/ 1M Tokens
$5.00
$20.00

Model Metadata

Basic information about each model.

Model provider
MistralMistral AI
GoogleGoogle
LatencyN/A2792.77s
Cost (In/Out)$2 / $5$4 / $20
Context Window128k1M
Max Output Token128k262k
Input Modality