Compare Models
Select models (max 5)
Kimi K3Hy4 Preview
| Vals IndexGDP-weighted benchmark | 50.30%±0.99 | 49.94%±1.15 |
| Legal Research BenchAgentic US legal research | 46.15%±3.46 | 45.19%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 53.11%±0.37 | 55.06%±0.31 |
| Tax Agent BenchAgentic US corporate tax research | 68.67%±3.08 | 63.71%±3.26 |
| MedCodeMedical billing code support | 49.36%±2.20 | 43.25%±2.13 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 1.43%±1.43 | 1.43%±1.43 |
| Code MigrationRewriting programs in new languages | 16.10%±4.10 | 47.43%±4.27 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±0.51 | 8.08%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 84.97%±2.75 | 77.48%±4.04 |
Benchmarks
Vals Index *
Kimi K3
0.00%± 0.99
(43/43)Hy4 Preview
0.00%± 1.15
(43/43)Legal Research Bench *
Kimi K3
0.00%± 3.46
(73/73)Hy4 Preview
0.00%± 3.46
(73/73)Finance Agent (v2) *
Kimi K3
0.00%± 0.37
(74/74)Hy4 Preview
0.00%± 0.31
(74/74)Tax Agent Bench *
Kimi K3
0.00%± 3.08
(65/65)Hy4 Preview
0.00%± 3.26
(65/65)MedCode *
Kimi K3
0.00%± 2.20
(104/104)Hy4 Preview
0.00%± 2.13
(104/104)Terminal-Bench Science
Kimi K3
0.00%± 1.43
(38/38)Hy4 Preview
0.00%± 1.43
(38/38)Code Migration *
Kimi K3
0.00%± 4.10
(73/73)Hy4 Preview
0.00%± 4.27
(73/73)Terminal-Bench 4.0
Kimi K3
0.00%± 0.51
(43/43)Hy4 Preview
0.00%± 1.34
(43/43)Vibe Code Bench v1.1 *
Kimi K3
0.00%± 2.75
(108/108)Hy4 Preview
0.00%± 4.04
(108/108)Overall 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
48.43%
vs.46.04%
Finance
66.10%
vs.58.95%
Healthcare
68.70%
vs.63.42%
Math
87.00%
vs.75.00%
Science
37.01%
vs.35.34%
Academic
89.68%
vs.N/A
Education
52.78%
vs.N/A
Coding
46.00%
vs.38.47%
Cyber
75.24%
vs.33.82%
Social Mobility
68.20%
vs.68.61%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.382
$1.439
Cost / TestVals Index
$6.382
vs.$1.439
Input Cost/ 1M Tokens
$3.00
vs.$0.834
Input Cache Read/ 1M Tokens
$0.30
vs.$0.042
Output Cost/ 1M Tokens
$15.00
vs.$2.501
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 4103.02s | 3656.53s |
| Cost (In/Out) | $3 / $15 | $0.834 / $2.501 |
| Context Window | 1M | 1M |
| Max Output Token | 1M | 64k |
| Input Modality |