Compare Models
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Kimi K2.6MiMo V2.5 Pro
| Vals IndexGDP-weighted benchmark | N/A | 33.84%±1.17 |
| Legal Research BenchAgentic US legal research | 15.87%±2.54 | 15.87%±2.54 |
| Finance Agent (v2)Core financial analyst tasks | 44.90%±0.73 | 41.50%±1.19 |
| Tax Agent BenchAgentic US corporate tax research | 45.13%±3.23 | 34.79%±2.62 |
| MedCodeMedical billing code support | 40.14%±2.04 | 32.48%±1.91 |
| Code MigrationRewriting programs in new languages | 27.77%±4.14 | 21.56%±4.13 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 0.51%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 37.89%±4.91 | 34.11%±4.53 |
Benchmarks
Vals Index *
Kimi K2.6
N/AMiMo V2.5 Pro
0.00%± 1.17
(43/43)Legal Research Bench *
Kimi K2.6
0.00%± 2.54
(73/73)MiMo V2.5 Pro
0.00%± 2.54
(73/73)Finance Agent (v2) *
Kimi K2.6
0.00%± 0.73
(74/74)MiMo V2.5 Pro
0.00%± 1.19
(74/74)Tax Agent Bench *
Kimi K2.6
0.00%± 3.23
(65/65)MiMo V2.5 Pro
0.00%± 2.62
(65/65)MedCode *
Kimi K2.6
0.00%± 2.04
(104/104)MiMo V2.5 Pro
0.00%± 1.91
(104/104)Code Migration *
Kimi K2.6
0.00%± 4.14
(73/73)MiMo V2.5 Pro
0.00%± 4.13
(73/73)Terminal-Bench 4.0
Kimi K2.6
N/AMiMo V2.5 Pro
0.00%± 0.51
(43/43)Vibe Code Bench v1.1 *
Kimi K2.6
0.00%± 4.91
(108/108)MiMo V2.5 Pro
0.00%± 4.53
(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
34.09%
vs.31.69%
Finance
57.67%
vs.51.33%
Healthcare
59.15%
vs.58.11%
Math
N/A
vs.22.00%
Academic
87.67%
vs.83.59%
Education
50.22%
vs.N/A
Coding
45.73%
vs.42.31%
Social Mobility
56.63%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.162
Cost / TestVals Index
N/A
vs.$0.162
Input Cost/ 1M Tokens
$0.95
vs.$0.435
Input Cache Read/ 1M Tokens
$0.16
vs.$0.004
Output Cost/ 1M Tokens
$4.00
vs.$0.87
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 2073.11s |
| Cost (In/Out) | $0.95 / $4 | $0.435 / $0.87 |
| Context Window | 262k | 1M |
| Max Output Token | 256k | 128k |
| Input Modality |