Compare Models
Select models (max 7)
Qwen 3.6 PlusDrex Max
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 14.90%±2.48 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 7.68%±1.81 | N/A |
| MedCodeMedical billing code support | 36.89%±2.02 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 25.57%±3.91 | N/A |
Benchmarks
Legal Research Bench *
Qwen 3.6 Plus
0.00%± 2.48
(84/84)Drex Max
N/ATax Agent Bench *
Qwen 3.6 Plus
0.00%± 1.81
(75/75)Drex Max
N/AMedCode *
Qwen 3.6 Plus
0.00%± 2.02
(107/107)Drex Max
N/AVibe Code Bench v1.1 *
Qwen 3.6 Plus
0.00%± 3.91
(118/118)Drex Max
N/AOverall 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
49.57%
vs.N/A
Finance
50.13%
vs.99.18%
Healthcare
56.93%
vs.N/A
Academic
86.40%
vs.N/A
Education
44.86%
vs.N/A
Coding
46.23%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$0.50
vs.$0.06
Input Cache Write/ 1M Tokens
$0.625
vs.N/A
Input Cache Read/ 1M Tokens
$0.05
vs.N/A
Output Cost/ 1M Tokens
$3.00
vs.$0.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | Decision |
| Latency | N/A | N/A |
| Cost (In/Out) | $0.5 / $3 | $0.06 / $0 |
| Context Window | 984k | 262k |
| Max Output Token | 66k | 0 |
| Input Modality |