Compare Models
Select models (max 5)
Qwen 3.6 PlusMiMo V2.5
| Legal Research BenchAgentic US legal research | 14.90%±2.48 | 9.13%±2.00 |
| Finance Agent (v2)Core financial analyst tasks | 40.85%±0.13 | 36.73%±0.11 |
| Tax Agent BenchAgentic US corporate tax research | 32.84%±2.75 | 29.16%±2.71 |
| MedCodeMedical billing code support | 36.89%±2.02 | 31.89%±2.02 |
| Code MigrationRewriting programs in new languages | 11.10%±1.31 | 14.23%±3.69 |
| Vibe Code Bench v1.1Building web apps from scratch | 25.57%±3.91 | 42.17%±4.57 |
Benchmarks
Legal Research Bench *
Qwen 3.6 Plus
0.00%± 2.48
(73/73)MiMo V2.5
0.00%± 2.00
(73/73)Finance Agent (v2) *
Qwen 3.6 Plus
0.00%± 0.13
(74/74)MiMo V2.5
0.00%± 0.11
(74/74)Tax Agent Bench *
Qwen 3.6 Plus
0.00%± 2.75
(65/65)MiMo V2.5
0.00%± 2.71
(65/65)MedCode *
Qwen 3.6 Plus
0.00%± 2.02
(104/104)MiMo V2.5
0.00%± 2.02
(104/104)Code Migration *
Qwen 3.6 Plus
0.00%± 1.31
(73/73)MiMo V2.5
0.00%± 3.69
(73/73)Vibe Code Bench v1.1 *
Qwen 3.6 Plus
0.00%± 3.91
(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
33.46%
vs.29.90%
Finance
49.85%
vs.50.41%
Healthcare
56.93%
vs.52.02%
Math
N/A
vs.16.00%
Academic
86.40%
vs.81.50%
Education
44.86%
vs.43.27%
Coding
39.20%
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
$0.50
vs.$0.14
Input Cache Write/ 1M Tokens
$0.625
vs.N/A
Input Cache Read/ 1M Tokens
$0.05
vs.$0.003
Output Cost/ 1M Tokens
$3.00
vs.$0.28
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | N/A |
| Cost (In/Out) | $0.5 / $3 | $0.14 / $0.28 |
| Context Window | 984k | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |