Compare Models
Select models (max 7)
Gemini 3.8 FlashMiMo V2.6 Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 55.95%±1.14 | 54.83%±1.11 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 37.98%±3.37 |
| Finance Agent v2.1Core financial analyst tasks | 65.76%±2.04 | 63.32%±2.08 |
| Tax Agent BenchAgentic US corporate tax research | 32.12%±3.37 | 28.51%±3.14 |
| MedCodeMedical billing code support | 48.13%±2.18 | 41.06%±2.03 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 4.29%±2.44 |
| Code Migration v1.1Rewriting programs in new languages | 38.65%±3.65 | 39.55%±3.54 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.70%±2.31 | 24.24%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 78.96%±4.04 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.14
(26/26)MiMo V2.6 Flash
0.00%± 1.11
(26/26)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(84/84)MiMo V2.6 Flash
0.00%± 3.37
(84/84)Finance Agent v2.1 *
Gemini 3.8 Flash
0.00%± 2.04
(30/30)MiMo V2.6 Flash
0.00%± 2.08
(30/30)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.37
(75/75)MiMo V2.6 Flash
0.00%± 3.14
(75/75)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(107/107)MiMo V2.6 Flash
0.00%± 2.03
(107/107)Terminal-Bench-Science
Gemini 3.8 Flash
0.00%± 3.37
(42/42)MiMo V2.6 Flash
0.00%± 2.44
(42/42)Code Migration v1.1 *
Gemini 3.8 Flash
0.00%± 3.65
(28/28)MiMo V2.6 Flash
0.00%± 3.54
(28/28)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.31
(54/54)MiMo V2.6 Flash
0.00%± 1.51
(54/54)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(118/118)MiMo V2.6 Flash
0.00%± 4.04
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
46.01%
vs.25.66%
Finance
62.11%
vs.53.57%
Healthcare
66.32%
vs.63.17%
Math
48.00%
vs.63.00%
Science
35.76%
vs.31.72%
Academic
91.25%
vs.N/A
Education
35.06%
vs.43.53%
Coding
48.20%
vs.38.18%
Cyber
27.41%
vs.39.78%
Social Mobility
65.29%
vs.67.59%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.065
$0.222
Cost / TestVals Index
$6.065
vs.$0.222
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 | 2158.48s | 4027.97s |
| Cost (In/Out) | $1.5 / $7.5 | $0.14 / $0.28 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |