Compare Models

Select models (max 5)
MiniMax-M3.1-FlashDeepSeek V4.1 Flash 1017
Benchmarks

Vals Index *

MiniMax-M3.1-Flash
0.00%± 1.07
(22/22)
DeepSeek V4.1 Flash 1017
0.00%± 1.05
(22/22)

Legal Research Bench *

MiniMax-M3.1-Flash
0.00%± 3.30
(81/81)
DeepSeek V4.1 Flash 1017
0.00%± 3.46
(81/81)

Finance Agent v2.1 *

MiniMax-M3.1-Flash
0.00%± 2.07
(27/27)
DeepSeek V4.1 Flash 1017
0.00%± 2.03
(27/27)

Tax Agent Bench *

MiniMax-M3.1-Flash
0.00%± 3.34
(72/72)
DeepSeek V4.1 Flash 1017
0.00%± 3.57
(72/72)

Code Migration v1.1 *

MiniMax-M3.1-Flash
N/A
DeepSeek V4.1 Flash 1017
0.00%± 2.76
(25/25)

Terminal-Bench 4.0

MiniMax-M3.1-Flash
0.00%± 1.01
(51/51)
DeepSeek V4.1 Flash 1017
0.00%± 2.62
(51/51)

Vibe Code Bench v1.1 *

MiniMax-M3.1-Flash
0.00%± 4.25
(115/115)
DeepSeek V4.1 Flash 1017
0.00%± 2.75
(115/115)

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
20.82%
29.68%
Finance
52.94%
58.82%
Coding
49.60%
62.36%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$3.866
$0.657
Cost / TestVals Index
$3.866
$0.657
Input Cost/ 1M Tokens
$0.60
$0.30
Input Cache Read/ 1M Tokens
$0.12
$0.006
Output Cost/ 1M Tokens
$2.40
$1.20

Model Metadata

Basic information about each model.

Model provider
MiniMaxMiniMax
DeepSeekDeepSeek
Latency2597.84s2394.71s
Cost (In/Out)$0.6 / $2.4$0.3 / $1.2
Context Window1M1M
Max Output Token524k384k
Input Modality