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DeepSeek V4MiniMax-M3.1-Flash
Benchmarks

Vals Index *

DeepSeek V4
N/A
MiniMax-M3.1-Flash
0.00%± 1.07
(26/26)

Legal Research Bench *

DeepSeek V4
0.00%± 2.93
(84/84)
MiniMax-M3.1-Flash
0.00%± 3.30
(84/84)

Finance Agent v2.1 *

DeepSeek V4
N/A
MiniMax-M3.1-Flash
0.00%± 2.07
(30/30)

Tax Agent Bench *

DeepSeek V4
0.00%± 3.06
(75/75)
MiniMax-M3.1-Flash
0.00%± 3.34
(75/75)

MedCode *

DeepSeek V4
0.00%± 2.12
(107/107)
MiniMax-M3.1-Flash
N/A

Terminal-Bench 4.0

DeepSeek V4
0.00%± 1.34
(54/54)
MiniMax-M3.1-Flash
0.00%± 1.01
(54/54)

Vibe Code Bench v1.1 *

DeepSeek V4
0.00%± 4.77
(118/118)
MiniMax-M3.1-Flash
0.00%± 4.25
(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
51.70%
20.82%
Finance
48.62%
52.94%
Healthcare
57.80%
N/A
Math
16.00%
N/A
Academic
88.32%
N/A
Coding
46.20%
49.60%
Social Mobility
62.92%
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
$1.32
$0.15
Input Cache Read/ 1M Tokens
$0.044
$0.015
Output Cost/ 1M Tokens
$3.96
$0.60

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
MiniMaxMiniMax
LatencyN/A2597.84s
Cost (In/Out)$1.32 / $3.96$0.15 / $0.6
Context Window1M1M
Max Output Token384k524k
Input Modality