Compare Models

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GLM 5.1MiniMax-M3.1-Flash


Vals IndexGDP-weighted benchmark	N/A	53.78%±1.07
Legal Research BenchAgentic US legal research	27.89%±3.12	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
MedCodeMedical billing code support	41.60%±2.12	N/A
Terminal-Bench 4.0Frontier-difficulty terminal tasks	N/A	25.25%±1.01
Vibe Code Bench v1.1Building web apps from scratch	31.46%±4.55	73.94%±4.25

Benchmarks

Vals Index *

GLM 5.1

N/A

MiniMax-M3.1-Flash

0.00%± 1.07

(22/22)

Legal Research Bench *

GLM 5.1

0.00%± 3.12

(81/81)

MiniMax-M3.1-Flash

0.00%± 3.30

(81/81)

Finance Agent v2.1 *

GLM 5.1

N/A

MiniMax-M3.1-Flash

0.00%± 2.07

(27/27)

Tax Agent Bench *

GLM 5.1

N/A

MiniMax-M3.1-Flash

0.00%± 3.34

(72/72)

MedCode *

GLM 5.1

0.00%± 2.12

(107/107)

MiniMax-M3.1-Flash

N/A

Terminal-Bench 4.0

GLM 5.1

N/A

MiniMax-M3.1-Flash

0.00%± 1.01

(51/51)

Vibe Code Bench v1.1 *

GLM 5.1

0.00%± 4.55

(115/115)

MiniMax-M3.1-Flash

0.00%± 4.25

(115/115)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law

•2026-10-19

GLM 5.1 MiniMax-M3.1-Flash

Comparison by Industry

Model performance on different sections of the economy.

Legal

56.14%

vs.

20.82%

Finance

71.19%

vs.

52.94%

Healthcare

56.94%

vs.

N/A

Academic

85.71%

vs.

N/A

Coding

47.31%

vs.

49.60%

Social Mobility

61.84%

vs.

N/A

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

$1.00

vs.

$0.15

Input Cache Read/ 1M Tokens

$0.20

vs.

$0.015

Output Cost/ 1M Tokens

$3.20

vs.

$0.60

Model Metadata

Basic information about each model.


Model provider	zAI	MiniMax
Latency	N/A	2597.84s
Cost (In/Out)	$1 / $3.2	$0.15 / $0.6
Context Window	200k	1M
Max Output Token	131k	524k
Input Modality