Compare Models
Select models (max 5)
Qwen 3.7 MaxMiMo V2.5
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 25.48%±3.03 | 9.13%±2.00 |
| Finance Agent (v2)Core financial analyst tasks | 47.78%±0.73 | 36.73%±0.11 |
| Tax Agent BenchAgentic US corporate tax research | 47.41%±3.24 | 29.16%±2.71 |
| MedCodeMedical billing code support | 38.75%±2.20 | 31.89%±2.02 |
| Code MigrationRewriting programs in new languages | 13.07%±2.86 | 14.23%±3.69 |
| Vibe Code Bench v1.1Building web apps from scratch | 47.67%±4.63 | 42.17%±4.57 |
Benchmarks
Legal Research Bench *
Qwen 3.7 Max
0.00%± 3.03
(73/73)MiMo V2.5
0.00%± 2.00
(73/73)Finance Agent (v2) *
Qwen 3.7 Max
0.00%± 0.73
(74/74)MiMo V2.5
0.00%± 0.11
(74/74)Tax Agent Bench *
Qwen 3.7 Max
0.00%± 3.24
(65/65)MiMo V2.5
0.00%± 2.71
(65/65)MedCode *
Qwen 3.7 Max
0.00%± 2.20
(104/104)MiMo V2.5
0.00%± 2.02
(104/104)Code Migration *
Qwen 3.7 Max
0.00%± 2.86
(73/73)MiMo V2.5
0.00%± 3.69
(73/73)Vibe Code Bench v1.1 *
Qwen 3.7 Max
0.00%± 4.63
(108/108)MiMo V2.5
0.00%± 4.57
(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.29.90%
Finance
56.88%
vs.50.41%
Healthcare
59.07%
vs.52.02%
Math
N/A
vs.16.00%
Academic
89.73%
vs.81.50%
Education
N/A
vs.43.27%
Coding
54.15%
vs.52.23%
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.$0.14
Input Cache Write/ 1M Tokens
$3.125
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.003
Output Cost/ 1M Tokens
$7.50
vs.$0.28
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | Xiaomi |
| Latency | N/A | N/A |
| Cost (In/Out) | $2.5 / $7.5 | $0.14 / $0.28 |
| Context Window | 984k | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |