Compare Models
Select models (max 5)
Kimi K3MiMo V2.6 Pro
| Vals IndexGDP-weighted benchmark | 50.30%±0.99 | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 46.15%±3.46 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 53.11%±0.37 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 68.67%±3.08 | 64.94%±3.21 |
| MedCodeMedical billing code support | 49.36%±2.20 | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 1.43%±1.43 | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 16.10%±4.10 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±0.51 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 84.97%±2.75 | 85.22%±3.39 |
Benchmarks
Vals Index *
Kimi K3
0.00%± 0.99
(43/43)MiMo V2.6 Pro
0.00%± 1.18
(43/43)Legal Research Bench *
Kimi K3
0.00%± 3.46
(73/73)MiMo V2.6 Pro
0.00%± 3.47
(73/73)Finance Agent (v2) *
Kimi K3
0.00%± 0.37
(74/74)MiMo V2.6 Pro
0.00%± 0.57
(74/74)Tax Agent Bench *
Kimi K3
0.00%± 3.08
(65/65)MiMo V2.6 Pro
0.00%± 3.21
(65/65)MedCode *
Kimi K3
0.00%± 2.20
(104/104)MiMo V2.6 Pro
0.00%± 2.10
(104/104)Terminal-Bench Science
Kimi K3
0.00%± 1.43
(38/38)MiMo V2.6 Pro
0.00%± 2.01
(38/38)Code Migration *
Kimi K3
0.00%± 4.10
(73/73)MiMo V2.6 Pro
0.00%± 4.32
(73/73)Terminal-Bench 4.0
Kimi K3
0.00%± 0.51
(43/43)MiMo V2.6 Pro
0.00%± 3.07
(43/43)Vibe Code Bench v1.1 *
Kimi K3
0.00%± 2.75
(108/108)MiMo V2.6 Pro
0.00%± 3.39
(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.28.97%
Finance
66.10%
vs.61.71%
Healthcare
68.70%
vs.66.64%
Math
87.00%
vs.70.00%
Science
37.01%
vs.9.09%
Academic
89.68%
vs.N/A
Education
52.78%
vs.45.05%
Coding
46.00%
vs.39.88%
Cyber
75.24%
vs.37.95%
Social Mobility
68.20%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.382
$0.41
Cost / TestVals Index
$6.382
vs.$0.41
Input Cost/ 1M Tokens
$3.00
vs.$0.435
Input Cache Read/ 1M Tokens
$0.30
vs.$0.004
Output Cost/ 1M Tokens
$15.00
vs.$0.87
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 4103.02s | 4038.37s |
| Cost (In/Out) | $3 / $15 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 1M | 128k |
| Input Modality |