Compare Models

Select models (max 7)

Qwen 3.5 PlusMiniMax-M3.1-Flash


Vals IndexGDP-weighted benchmark	N/A	53.78%±1.07
Legal Research BenchAgentic US legal research	N/A	34.13%±3.30
Finance Agent v2.1Core financial analyst tasks	N/A	58.83%±2.07
Tax Agent BenchAgentic US corporate tax research	N/A	32.14%±3.34
Terminal-Bench 4.0Frontier-difficulty terminal tasks	N/A	25.25%±1.01
Vibe Code Bench v1.1Building web apps from scratch	15.74%±3.18	73.94%±4.25

Benchmarks

Vals Index *

Qwen 3.5 Plus

N/A

MiniMax-M3.1-Flash

0.00%± 1.07

(24/24)

Legal Research Bench *

Qwen 3.5 Plus

N/A

MiniMax-M3.1-Flash

0.00%± 3.30

(82/82)

Finance Agent v2.1 *

Qwen 3.5 Plus

N/A

MiniMax-M3.1-Flash

0.00%± 2.07

(28/28)

Tax Agent Bench *

Qwen 3.5 Plus

N/A

MiniMax-M3.1-Flash

0.00%± 3.34

(73/73)

Terminal-Bench 4.0

Qwen 3.5 Plus

N/A

MiniMax-M3.1-Flash

0.00%± 1.01

(52/52)

Vibe Code Bench v1.1 *

Qwen 3.5 Plus

0.00%± 3.18

(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

Qwen 3.5 Plus MiniMax-M3.1-Flash

Comparison by Industry

Model performance on different sections of the economy.

Legal

85.10%

vs.

20.82%

Finance

60.77%

vs.

52.94%

Academic

65.78%

vs.

N/A

Education

30.40%

vs.

N/A

Coding

57.42%

vs.

49.60%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD

N/A

$0.66

Cost / TestVals Index

N/A

vs.

$0.66

Input Cost/ 1M Tokens

$0.40

vs.

$0.15

Input Cache Write/ 1M Tokens

$0.50

vs.

N/A

Input Cache Read/ 1M Tokens

$0.04

vs.

$0.015

Output Cost/ 1M Tokens

$2.40

vs.

$0.60

Model Metadata

Basic information about each model.


Model provider	Alibaba	MiniMax
Latency	N/A	2597.84s
Cost (In/Out)	$0.4 / $2.4	$0.15 / $0.6
Context Window	991k	1M
Max Output Token	66k	524k
Input Modality