Compare Models
Select models (max 5)
DeepSeek V4.1 Flash 1017MiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 56.58%±1.27 | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 45.19%±3.46 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 56.96%±2.05 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 44.35%±3.57 | 32.39%±3.36 |
| MedCodeMedical billing code support | N/A | 44.97%±2.10 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | N/A | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 44.21%±4.46 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 31.82%±2.62 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 87.73%±2.75 | 85.22%±3.39 |
Benchmarks
Vals Index *
DeepSeek V4.1 Flash 1017
0.00%± 1.27
(50/50)MiMo V2.6 Pro
0.00%± 1.18
(50/50)Legal Research Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.46
(80/80)MiMo V2.6 Pro
0.00%± 3.47
(80/80)Finance Agent (v2) *
DeepSeek V4.1 Flash 1017
0.00%± 2.05
(80/80)MiMo V2.6 Pro
0.00%± 0.57
(80/80)Tax Agent Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.57
(71/71)MiMo V2.6 Pro
0.00%± 3.36
(71/71)MedCode *
DeepSeek V4.1 Flash 1017
N/AMiMo V2.6 Pro
0.00%± 2.10
(107/107)Terminal-Bench-Science
DeepSeek V4.1 Flash 1017
N/AMiMo V2.6 Pro
0.00%± 2.01
(41/41)Code Migration *
DeepSeek V4.1 Flash 1017
0.00%± 4.46
(79/79)MiMo V2.6 Pro
0.00%± 4.32
(79/79)Terminal-Bench 4.0
DeepSeek V4.1 Flash 1017
0.00%± 2.62
(50/50)MiMo V2.6 Pro
0.00%± 3.07
(50/50)Vibe Code Bench v1.1 *
DeepSeek V4.1 Flash 1017
0.00%± 2.75
(114/114)MiMo V2.6 Pro
0.00%± 3.39
(114/114)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-18
Comparison by Industry
Model performance on different sections of the economy.
Legal
27.18%
vs.28.97%
Finance
54.37%
vs.50.86%
Healthcare
N/A
vs.66.64%
Math
N/A
vs.70.00%
Science
N/A
vs.9.09%
Education
N/A
vs.45.05%
Coding
54.59%
vs.40.11%
Cyber
N/A
vs.37.95%
Social Mobility
N/A
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.637
$0.41
Cost / TestVals Index
$0.637
vs.$0.41
Input Cost/ 1M Tokens
$0.30
vs.$0.435
Input Cache Read/ 1M Tokens
$0.006
vs.$0.004
Output Cost/ 1M Tokens
$1.20
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | Xiaomi |
| Latency | 2193.12s | 4038.85s |
| Cost (In/Out) | $0.3 / $1.2 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 128k |
| Input Modality |