Compare Models
Select models (max 5)
Kimi K3GPT-6 Luna
| Vals IndexGDP-weighted benchmark | 50.30%±0.99 | 51.22%±1.07 |
| Legal Research BenchAgentic US legal research | 46.15%±3.46 | 30.29%±3.19 |
| Finance Agent (v2)Core financial analyst tasks | 53.11%±0.37 | 49.87%±0.23 |
| Tax Agent BenchAgentic US corporate tax research | 68.67%±3.08 | 58.86%±3.21 |
| MedCodeMedical billing code support | 49.36%±2.20 | 44.69%±2.30 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 1.43%±1.43 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 16.10%±4.10 | 42.55%±4.42 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±0.51 | 13.64%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 84.97%±2.75 | 81.65%±3.38 |
Benchmarks
Vals Index *
Kimi K3
0.00%± 0.99
(43/43)GPT-6 Luna
0.00%± 1.07
(43/43)Legal Research Bench *
Kimi K3
0.00%± 3.46
(73/73)GPT-6 Luna
0.00%± 3.19
(73/73)Finance Agent (v2) *
Kimi K3
0.00%± 0.37
(74/74)GPT-6 Luna
0.00%± 0.23
(74/74)Tax Agent Bench *
Kimi K3
0.00%± 3.08
(65/65)GPT-6 Luna
0.00%± 3.21
(65/65)MedCode *
Kimi K3
0.00%± 2.20
(104/104)GPT-6 Luna
0.00%± 2.30
(104/104)Terminal-Bench Science
Kimi K3
0.00%± 1.43
(38/38)GPT-6 Luna
0.00%± 2.44
(38/38)Code Migration *
Kimi K3
0.00%± 4.10
(73/73)GPT-6 Luna
0.00%± 4.42
(73/73)Terminal-Bench 4.0
Kimi K3
0.00%± 0.51
(43/43)GPT-6 Luna
0.00%± 1.51
(43/43)Vibe Code Bench v1.1 *
Kimi K3
0.00%± 2.75
(108/108)GPT-6 Luna
0.00%± 3.38
(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.16.60%
Finance
66.10%
vs.59.08%
Healthcare
68.70%
vs.64.20%
Math
87.00%
vs.64.00%
Science
37.01%
vs.28.38%
Academic
89.68%
vs.N/A
Education
52.78%
vs.48.09%
Coding
46.00%
vs.38.78%
Cyber
75.24%
vs.76.25%
Social Mobility
68.20%
vs.57.65%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.382
$0.431
Cost / TestVals Index
$6.382
vs.$0.431
Input Cost/ 1M Tokens
$3.00
vs.$0.10
Input Cache Write/ 1M Tokens
N/A
vs.$0.125
Input Cache Read/ 1M Tokens
$0.30
vs.$0.01
Output Cost/ 1M Tokens
$15.00
vs.$0.50
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 4103.02s | 1833.68s |
| Cost (In/Out) | $3 / $15 | $0.1 / $0.5 |
| Context Window | 1M | 1M |
| Max Output Token | 1M | 128k |
| Input Modality |