Compare Models

Select models (max 5)
DeepSeek V4MiniMax-M3
Benchmarks

Vals Index *

DeepSeek V4
0.00%± 1.16
(43/43)
MiniMax-M3
0.00%± 1.17
(43/43)

Legal Research Bench *

DeepSeek V4
0.00%± 2.93
(73/73)
MiniMax-M3
0.00%± 3.18
(73/73)

Finance Agent (v2) *

DeepSeek V4
0.00%± 0.65
(74/74)
MiniMax-M3
0.00%± 0.44
(74/74)

Tax Agent Bench *

DeepSeek V4
0.00%± 3.13
(65/65)
MiniMax-M3
0.00%± 3.25
(65/65)

MedCode *

DeepSeek V4
0.00%± 2.12
(104/104)
MiniMax-M3
0.00%± 2.10
(104/104)

Code Migration *

DeepSeek V4
0.00%± 4.04
(73/73)
MiniMax-M3
0.00%± 3.94
(73/73)

Terminal-Bench 4.0

DeepSeek V4
0.00%± 1.34
(43/43)
MiniMax-M3
0.00%± 1.01
(43/43)

Vibe Code Bench v1.1 *

DeepSeek V4
0.00%± 4.77
(108/108)
MiniMax-M3
0.00%± 5.44
(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
35.72%
39.80%
Finance
56.57%
57.36%
Healthcare
57.80%
66.77%
Math
16.00%
18.00%
Academic
88.32%
86.02%
Education
N/A
50.57%
Coding
43.34%
40.91%
Cyber
N/A
65.00%
Social Mobility
62.92%
64.14%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$1.306
$3.082
Cost / TestVals Index
$1.306
$3.082
Input Cost/ 1M Tokens
$1.32
$0.60
Input Cache Read/ 1M Tokens
$0.044
$0.12
Output Cost/ 1M Tokens
$3.96
$2.40

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
MiniMaxMiniMax
Latency1928.91s2334.66s
Cost (In/Out)$1.32 / $3.96$0.6 / $2.4
Context Window1M1M
Max Output Token384k512k
Input Modality