Compare Models

Select models (max 7)
Gemini 3.5 Flash LiteMiniMax-M3.1-Flash
Benchmarks

Vals Index *

Gemini 3.5 Flash Lite
N/A
MiniMax-M3.1-Flash
0.00%± 1.07
(24/24)

Legal Research Bench *

Gemini 3.5 Flash Lite
0.00%± 2.41
(82/82)
MiniMax-M3.1-Flash
0.00%± 3.30
(82/82)

Finance Agent v2.1 *

Gemini 3.5 Flash Lite
N/A
MiniMax-M3.1-Flash
0.00%± 2.07
(28/28)

Tax Agent Bench *

Gemini 3.5 Flash Lite
0.00%± 1.87
(73/73)
MiniMax-M3.1-Flash
0.00%± 3.34
(73/73)

MedCode *

Gemini 3.5 Flash Lite
0.00%± 1.95
(107/107)
MiniMax-M3.1-Flash
N/A

Terminal-Bench 4.0

Gemini 3.5 Flash Lite
N/A
MiniMax-M3.1-Flash
0.00%± 1.01
(52/52)

Vibe Code Bench v1.1 *

Gemini 3.5 Flash Lite
0.00%± 4.63
(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

2026-10-21

Comparison by Industry

Model performance on different sections of the economy.

Legal
49.01%
20.82%
Finance
49.51%
52.94%
Healthcare
57.19%
N/A
Academic
84.42%
N/A
Education
47.30%
N/A
Coding
47.79%
49.60%
Cyber
59.11%
N/A
Social Mobility
51.83%
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
$0.30
$0.15
Input Cache Read/ 1M Tokens
$0.03
$0.015
Output Cost/ 1M Tokens
$2.50
$0.60

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
MiniMaxMiniMax
LatencyN/A2597.84s
Cost (In/Out)$0.3 / $2.5$0.15 / $0.6
Context Window1M1M
Max Output Token66k524k
Input Modality