Compare Models

Select models (max 5)

Mistral Large (11/2024)MiniMax-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	N/A	73.94%±4.25

Benchmarks

Vals Index *

Mistral Large (11/2024)

N/A

MiniMax-M3.1-Flash

0.00%± 1.07

(23/23)

Legal Research Bench *

Mistral Large (11/2024)

N/A

MiniMax-M3.1-Flash

0.00%± 3.30

(82/82)

Finance Agent v2.1 *

Mistral Large (11/2024)

N/A

MiniMax-M3.1-Flash

0.00%± 2.07

(28/28)

Tax Agent Bench *

Mistral Large (11/2024)

N/A

MiniMax-M3.1-Flash

0.00%± 3.34

(73/73)

Terminal-Bench 4.0

Mistral Large (11/2024)

N/A

MiniMax-M3.1-Flash

0.00%± 1.01

(52/52)

Vibe Code Bench v1.1 *

Mistral Large (11/2024)

N/A

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

•2026-10-19

Mistral Large (11/2024)MiniMax-M3.1-Flash

Comparison by Industry

Model performance on different sections of the economy.

Legal

N/A

vs.

20.82%

Finance

63.78%

vs.

52.94%

Academic

58.72%

vs.

N/A

Coding

37.09%

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

$2.00

vs.

$0.15

Input Cache Read/ 1M Tokens

$0.20

vs.

$0.015

Output Cost/ 1M Tokens

$6.00

vs.

$0.60

Model Metadata

Basic information about each model.


Model provider	Mistral AI	MiniMax
Latency	N/A	2597.84s
Cost (In/Out)	$2 / $6	$0.15 / $0.6
Context Window	128k	1M
Max Output Token	256k	524k
Input Modality