Compare Models
Select models (max 7)
Gemini 3.8 FlashMiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 55.95%±1.14 | 57.81%±1.24 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 47.12%±3.47 |
| Finance Agent v2.1Core financial analyst tasks | 65.76%±2.04 | 64.26%±2.02 |
| Tax Agent BenchAgentic US corporate tax research | 32.12%±3.37 | 32.39%±3.36 |
| MedCodeMedical billing code support | 48.13%±2.18 | 44.97%±2.10 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 2.86%±2.01 |
| Code Migration v1.1Rewriting programs in new languages | 38.65%±3.65 | 48.79%±3.88 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.70%±2.31 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 85.22%±3.39 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.14
(26/26)MiMo V2.6 Pro
0.00%± 1.24
(26/26)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(84/84)MiMo V2.6 Pro
0.00%± 3.47
(84/84)Finance Agent v2.1 *
Gemini 3.8 Flash
0.00%± 2.04
(30/30)MiMo V2.6 Pro
0.00%± 2.02
(30/30)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.37
(75/75)MiMo V2.6 Pro
0.00%± 3.36
(75/75)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(107/107)MiMo V2.6 Pro
0.00%± 2.10
(107/107)Terminal-Bench-Science
Gemini 3.8 Flash
0.00%± 3.37
(42/42)MiMo V2.6 Pro
0.00%± 2.01
(42/42)Code Migration v1.1 *
Gemini 3.8 Flash
0.00%± 3.65
(28/28)MiMo V2.6 Pro
0.00%± 3.88
(28/28)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.31
(54/54)MiMo V2.6 Pro
0.00%± 3.07
(54/54)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(118/118)MiMo V2.6 Pro
0.00%± 3.39
(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.30.43%
Finance
62.11%
vs.54.66%
Healthcare
66.32%
vs.66.64%
Math
48.00%
vs.70.00%
Science
35.76%
vs.9.09%
Academic
91.25%
vs.N/A
Education
35.06%
vs.45.05%
Coding
48.20%
vs.41.07%
Cyber
27.41%
vs.37.95%
Social Mobility
65.29%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.065
$0.435
Cost / TestVals Index
$6.065
vs.$0.435
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 | 2158.48s | 4355.89s |
| Cost (In/Out) | $1.5 / $7.5 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |