Compare Models
Select models (max 7)
Kimi K3.1 ProDrex Max
| Vals IndexGDP-weighted benchmark | 62.52%±1.14 | N/A |
| Legal Research BenchAgentic US legal research | 37.50%±3.37 | N/A |
| Finance Agent v2.1Core financial analyst tasks | 61.49%±2.10 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 24.87%±3.12 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 63.64%±1.75 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 84.89%±2.95 | N/A |
Benchmarks
Vals Index *
Kimi K3.1 Pro
0.00%± 1.14
(27/27)Drex Max
N/ALegal Research Bench *
Kimi K3.1 Pro
0.00%± 3.37
(85/85)Drex Max
N/AFinance Agent v2.1 *
Kimi K3.1 Pro
0.00%± 2.10
(31/31)Drex Max
N/ATax Agent Bench *
Kimi K3.1 Pro
0.00%± 3.12
(76/76)Drex Max
N/ATerminal-Bench 4.0
Kimi K3.1 Pro
0.00%± 1.75
(55/55)Drex Max
N/AVibe Code Bench v1.1 *
Kimi K3.1 Pro
0.00%± 2.95
(119/119)Drex Max
N/AOverall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
Comparison by Industry
Model performance on different sections of the economy.
Legal
24.58%
vs.N/A
Finance
52.12%
vs.99.18%
Coding
74.27%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.44
N/A
Cost / TestVals Index
$6.44
vs.N/A
Input Cost/ 1M Tokens
$2.00
vs.$0.06
Input Cache Read/ 1M Tokens
$0.20
vs.N/A
Output Cost/ 1M Tokens
$10.00
vs.$0.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 3816.45s | N/A |
| Cost (In/Out) | $2 / $10 | $0.06 / $0 |
| Context Window | 1M | 262k |
| Max Output Token | 1M | 0 |
| Input Modality |