Compare Models

Select models (max 7)
Qwen 3.8 27BMiniMax-M3.1-Flash
Benchmarks

Vals Index *

Qwen 3.8 27B
N/A
MiniMax-M3.1-Flash
0.00%± 1.07
(26/26)

Legal Research Bench *

Qwen 3.8 27B
0.00%± 3.34
(84/84)
MiniMax-M3.1-Flash
0.00%± 3.30
(84/84)

Finance Agent v2.1 *

Qwen 3.8 27B
N/A
MiniMax-M3.1-Flash
0.00%± 2.07
(30/30)

Tax Agent Bench *

Qwen 3.8 27B
0.00%± 3.32
(75/75)
MiniMax-M3.1-Flash
0.00%± 3.34
(75/75)

MedCode *

Qwen 3.8 27B
0.00%± 1.97
(107/107)
MiniMax-M3.1-Flash
N/A

Terminal-Bench-Science

Qwen 3.8 27B
0.00%± 0.00
(42/42)
MiniMax-M3.1-Flash
N/A

Terminal-Bench 4.0

Qwen 3.8 27B
N/A
MiniMax-M3.1-Flash
0.00%± 1.01
(54/54)

Vibe Code Bench v1.1 *

Qwen 3.8 27B
0.00%± 4.83
(118/118)
MiniMax-M3.1-Flash
0.00%± 4.25
(118/118)

Overall performance

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

2026-10-22

Comparison by Industry

Model performance on different sections of the economy.

Legal
59.24%
20.82%
Finance
55.56%
52.94%
Healthcare
56.27%
N/A
Math
16.00%
N/A
Science
0.00%
N/A
Academic
85.72%
N/A
Education
52.40%
N/A
Coding
52.00%
49.60%
Cyber
67.80%
N/A

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$0.66
Cost / TestVals Index
N/A
$0.66
Input Cost/ 1M Tokens
$0.50
$0.15
Input Cache Write/ 1M Tokens
$0.625
N/A
Input Cache Read/ 1M Tokens
$0.05
$0.015
Output Cost/ 1M Tokens
$3.00
$0.60

Model Metadata

Basic information about each model.

Model provider
AlibabaAlibaba
MiniMaxMiniMax
LatencyN/A2597.84s
Cost (In/Out)$0.5 / $3$0.15 / $0.6
Context Window262k1M
Max Output Token66k524k
Input Modality