Compare Models
Select models (max 5)
Gemini 3.7 FlashMiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 59.31%±1.06 | 59.47%±1.18 |
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 59.04%±0.27 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 57.66%±3.31 | 64.94%±3.21 |
| MedCodeMedical billing code support | 53.39%±2.12 | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 34.80%±4.22 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 6.06%±0.88 | 24.75%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 85.22%±3.39 |
Benchmarks
Vals Index *
Gemini 3.7 Flash
0.00%± 1.06
(66/66)MiMo V2.6 Pro
0.00%± 1.18
(66/66)Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(69/69)MiMo V2.6 Pro
0.00%± 3.47
(69/69)Finance Agent (v2) *
Gemini 3.7 Flash
0.00%± 0.27
(70/70)MiMo V2.6 Pro
0.00%± 0.57
(70/70)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.31
(61/61)MiMo V2.6 Pro
0.00%± 3.21
(61/61)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(102/102)MiMo V2.6 Pro
0.00%± 2.10
(102/102)Terminal-Bench Science
Gemini 3.7 Flash
0.00%± 2.79
(33/33)MiMo V2.6 Pro
0.00%± 2.01
(33/33)Code Migration *
Gemini 3.7 Flash
0.00%± 4.22
(69/69)MiMo V2.6 Pro
0.00%± 4.32
(69/69)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 0.88
(37/37)MiMo V2.6 Pro
0.00%± 3.07
(37/37)Vibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(104/104)MiMo V2.6 Pro
0.00%± 3.39
(104/104)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-27
Comparison by Industry
Model performance on different sections of the economy.
Vals Index
38.79%
vs.59.47%
Legal
43.54%
vs.28.97%
Finance
65.88%
vs.61.71%
Healthcare
68.67%
vs.66.64%
Math
58.00%
vs.70.00%
Science
5.71%
vs.9.09%
Academic
91.01%
vs.N/A
Education
49.23%
vs.45.05%
Coding
51.80%
vs.38.56%
Beta
24.16%
vs.37.95%
Social Mobility
N/A
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.17
$0.389
Cost / TestVals Index
$4.17
vs.$0.389
Input Cost/ 1M Tokens
$1.50
vs.$0.435
Input Cache Read/ 1M Tokens
$0.15
vs.$0.004
Output Cost/ 1M Tokens
$7.50
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | Xiaomi |
| Latency | 2592.93s | 3139.77s |
| Cost (In/Out) | $1.5 / $7.5 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |