Compare Models
Select models (max 5)
Qwen 3.7 PlusMiMo V2.5
| Legal Research BenchAgentic US legal research | 16.35%±2.57 | 9.13%±2.00 |
| Finance Agent (v2)Core financial analyst tasks | 38.22%±1.04 | 36.73%±0.11 |
| Tax Agent BenchAgentic US corporate tax research | 38.71%±2.81 | 29.16%±2.71 |
| MedCodeMedical billing code support | N/A | 31.89%±2.02 |
| Code MigrationRewriting programs in new languages | 12.86%±2.93 | 14.23%±3.69 |
| Vibe Code Bench v1.1Building web apps from scratch | 46.39%±4.61 | 42.17%±4.57 |
Benchmarks
Legal Research Bench *
Qwen 3.7 Plus
0.00%± 2.57
(73/73)MiMo V2.5
0.00%± 2.00
(73/73)Finance Agent (v2) *
Qwen 3.7 Plus
0.00%± 1.04
(74/74)MiMo V2.5
0.00%± 0.11
(74/74)Tax Agent Bench *
Qwen 3.7 Plus
0.00%± 2.81
(65/65)MiMo V2.5
0.00%± 2.71
(65/65)MedCode *
Qwen 3.7 Plus
N/AMiMo V2.5
0.00%± 2.02
(104/104)Code Migration *
Qwen 3.7 Plus
0.00%± 2.93
(73/73)MiMo V2.5
0.00%± 3.69
(73/73)Vibe Code Bench v1.1 *
Qwen 3.7 Plus
0.00%± 4.61
(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
Comparison by Industry
Model performance on different sections of the economy.
Legal
8.17%
vs.29.90%
Finance
48.11%
vs.50.41%
Healthcare
N/A
vs.52.02%
Math
N/A
vs.16.00%
Academic
N/A
vs.81.50%
Education
39.25%
vs.43.27%
Coding
37.85%
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
$0.40
vs.$0.14
Input Cache Write/ 1M Tokens
$0.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.04
vs.$0.003
Output Cost/ 1M Tokens
$1.60
vs.$0.28
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | N/A |
| Cost (In/Out) | $0.4 / $1.6 | $0.14 / $0.28 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |