Compare Models

Select models (max 5)
Gemini 3.6 FlashMiniMax-M3.1-Flash
Benchmarks

Vals Index *

Gemini 3.6 Flash
N/A
MiniMax-M3.1-Flash
0.00%± 1.07
(23/23)

Legal Research Bench *

Gemini 3.6 Flash
0.00%± 3.01
(82/82)
MiniMax-M3.1-Flash
0.00%± 3.30
(82/82)

Finance Agent v2.1 *

Gemini 3.6 Flash
N/A
MiniMax-M3.1-Flash
0.00%± 2.07
(28/28)

Tax Agent Bench *

Gemini 3.6 Flash
0.00%± 2.77
(73/73)
MiniMax-M3.1-Flash
0.00%± 3.34
(73/73)

MedCode *

Gemini 3.6 Flash
0.00%± 2.16
(107/107)
MiniMax-M3.1-Flash
N/A

Terminal-Bench-Science

Gemini 3.6 Flash
0.00%± 2.44
(41/41)
MiniMax-M3.1-Flash
N/A

Terminal-Bench 4.0

Gemini 3.6 Flash
N/A
MiniMax-M3.1-Flash
0.00%± 1.01
(52/52)

Vibe Code Bench v1.1 *

Gemini 3.6 Flash
0.00%± 4.29
(116/116)
MiniMax-M3.1-Flash
0.00%± 4.25
(116/116)

Overall performance

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

2026-10-19

Comparison by Industry

Model performance on different sections of the economy.

Legal
55.85%
20.82%
Finance
53.50%
52.94%
Healthcare
66.41%
N/A
Science
31.40%
N/A
Academic
90.36%
N/A
Education
48.69%
N/A
Coding
53.35%
49.60%
Cyber
45.36%
N/A
Social Mobility
56.56%
N/A

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$0.66
Cost / TestVals Index
N/A
$0.66
Input Cost/ 1M Tokens
$1.50
$0.15
Input Cache Read/ 1M Tokens
$0.15
$0.015
Output Cost/ 1M Tokens
$7.50
$0.60

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
MiniMaxMiniMax
LatencyN/A2597.84s
Cost (In/Out)$1.5 / $7.5$0.15 / $0.6
Context Window1M1M
Max Output Token66k524k
Input Modality