Compare Models

Select models (max 5)
Qwen 3.7 MaxDeepSeek V4
Benchmarks

Vals Index *

Qwen 3.7 Max
N/A
DeepSeek V4
0.00%± 1.16
(43/43)

Legal Research Bench *

Qwen 3.7 Max
0.00%± 3.03
(73/73)
DeepSeek V4
0.00%± 2.93
(73/73)

Finance Agent (v2) *

Qwen 3.7 Max
0.00%± 0.73
(74/74)
DeepSeek V4
0.00%± 0.65
(74/74)

Tax Agent Bench *

Qwen 3.7 Max
0.00%± 3.24
(65/65)
DeepSeek V4
0.00%± 3.13
(65/65)

MedCode *

Qwen 3.7 Max
0.00%± 2.20
(104/104)
DeepSeek V4
0.00%± 2.12
(104/104)

Code Migration *

Qwen 3.7 Max
0.00%± 2.86
(73/73)
DeepSeek V4
0.00%± 4.04
(73/73)

Terminal-Bench 4.0

Qwen 3.7 Max
N/A
DeepSeek V4
0.00%± 1.34
(43/43)

Vibe Code Bench v1.1 *

Qwen 3.7 Max
0.00%± 4.63
(108/108)
DeepSeek V4
0.00%± 4.77
(108/108)

Overall performance

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

2026-10-02

Comparison by Industry

Model performance on different sections of the economy.

Legal
37.35%
35.72%
Finance
56.88%
56.57%
Healthcare
59.07%
57.80%
Math
N/A
16.00%
Academic
89.73%
88.32%
Coding
54.15%
43.34%
Social Mobility
N/A
62.92%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$1.306
Cost / TestVals Index
N/A
$1.306
Input Cost/ 1M Tokens
$2.50
$1.32
Input Cache Write/ 1M Tokens
$3.125
N/A
Input Cache Read/ 1M Tokens
$0.25
$0.044
Output Cost/ 1M Tokens
$7.50
$3.96

Model Metadata

Basic information about each model.

Model provider
AlibabaAlibaba
DeepSeekDeepSeek
LatencyN/A1928.91s
Cost (In/Out)$2.5 / $7.5$1.32 / $3.96
Context Window984k1M
Max Output Token66k384k
Input Modality