Compare Models
Select models (max 5)
Gemini 3.7 FlashMiMo V2.6 Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 59.31%±1.06 | 59.58%±1.13 |
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 37.98%±3.37 |
| Finance Agent (v2)Core financial analyst tasks | 59.04%±0.27 | 56.28%±0.46 |
| Tax Agent BenchAgentic US corporate tax research | 57.66%±3.31 | 59.90%±3.13 |
| MedCodeMedical billing code support | 53.39%±2.12 | 41.06%±2.03 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 5.71%±2.79 |
| Code MigrationRewriting programs in new languages | 34.80%±4.22 | 40.93%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 6.06%±0.88 | 21.21%±1.75 |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 78.96%±4.04 |
Benchmarks
Vals Index *
Gemini 3.7 Flash
0.00%± 1.06
(66/66)MiMo V2.6 Flash
0.00%± 1.13
(66/66)Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(69/69)MiMo V2.6 Flash
0.00%± 3.37
(69/69)Finance Agent (v2) *
Gemini 3.7 Flash
0.00%± 0.27
(70/70)MiMo V2.6 Flash
0.00%± 0.46
(70/70)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.31
(61/61)MiMo V2.6 Flash
0.00%± 3.13
(61/61)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(102/102)MiMo V2.6 Flash
0.00%± 2.03
(102/102)Terminal-Bench Science
Gemini 3.7 Flash
0.00%± 2.79
(33/33)MiMo V2.6 Flash
0.00%± 2.79
(33/33)Code Migration *
Gemini 3.7 Flash
0.00%± 4.22
(69/69)MiMo V2.6 Flash
0.00%± 4.35
(69/69)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 0.88
(37/37)MiMo V2.6 Flash
0.00%± 1.75
(37/37)Vibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(104/104)MiMo V2.6 Flash
0.00%± 4.04
(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.59.58%
Legal
43.54%
vs.24.62%
Finance
65.88%
vs.60.55%
Healthcare
68.67%
vs.63.17%
Math
58.00%
vs.63.00%
Science
5.71%
vs.32.20%
Academic
91.01%
vs.N/A
Education
49.23%
vs.43.53%
Coding
51.80%
vs.37.85%
Beta
24.16%
vs.39.78%
Social Mobility
N/A
vs.67.59%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.17
$0.197
Cost / TestVals Index
$4.17
vs.$0.197
Input Cost/ 1M Tokens
$1.50
vs.$0.14
Input Cache Read/ 1M Tokens
$0.15
vs.$0.003
Output Cost/ 1M Tokens
$7.50
vs.$0.28
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | Xiaomi |
| Latency | 2592.93s | 2701.77s |
| Cost (In/Out) | $1.5 / $7.5 | $0.14 / $0.28 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |