Compare Models
Select models (max 5)
Qwen 3.7 MaxKimi K2.6
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 25.48%±3.03 | 15.87%±2.54 |
| Finance Agent (v2)Core financial analyst tasks | 47.78%±0.73 | 44.90%±0.73 |
| Tax Agent BenchAgentic US corporate tax research | 47.41%±3.24 | 45.13%±3.23 |
| MedCodeMedical billing code support | 38.75%±2.20 | 40.14%±2.04 |
| Code MigrationRewriting programs in new languages | 13.07%±2.86 | 27.77%±4.14 |
| Vibe Code Bench v1.1Building web apps from scratch | 47.67%±4.63 | 37.89%±4.91 |
Benchmarks
Legal Research Bench *
Qwen 3.7 Max
0.00%± 3.03
(73/73)Kimi K2.6
0.00%± 2.54
(73/73)Finance Agent (v2) *
Qwen 3.7 Max
0.00%± 0.73
(74/74)Kimi K2.6
0.00%± 0.73
(74/74)Tax Agent Bench *
Qwen 3.7 Max
0.00%± 3.24
(65/65)Kimi K2.6
0.00%± 3.23
(65/65)MedCode *
Qwen 3.7 Max
0.00%± 2.20
(104/104)Kimi K2.6
0.00%± 2.04
(104/104)Code Migration *
Qwen 3.7 Max
0.00%± 2.86
(73/73)Kimi K2.6
0.00%± 4.14
(73/73)Vibe Code Bench v1.1 *
Qwen 3.7 Max
0.00%± 4.63
(108/108)Kimi K2.6
0.00%± 4.91
(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%
vs.34.09%
Finance
56.88%
vs.57.67%
Healthcare
59.07%
vs.59.15%
Academic
89.73%
vs.87.67%
Education
N/A
vs.50.22%
Coding
54.15%
vs.45.73%
Social Mobility
N/A
vs.56.63%
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
$2.50
vs.$0.95
Input Cache Write/ 1M Tokens
$3.125
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.16
Output Cost/ 1M Tokens
$7.50
vs.$4.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | Kimi |
| Latency | N/A | N/A |
| Cost (In/Out) | $2.5 / $7.5 | $0.95 / $4 |
| Context Window | 984k | 262k |
| Max Output Token | 66k | 256k |
| Input Modality |