Compare Models
Select models (max 7)
Qwen 3.8 MaxKimi K3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 52.95%±1.00 |
| Legal Research BenchAgentic US legal research | 47.60%±3.47 | 46.15%±3.46 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 60.01%±2.09 |
| Tax Agent BenchAgentic US corporate tax research | 32.09%±3.37 | 33.37%±3.39 |
| MedCodeMedical billing code support | 40.67%±2.03 | 49.36%±2.20 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 12.86%±4.03 | 1.43% ±1.43 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 28.59%±3.78 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 34.34%±3.94 | 17.17%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.70%±5.36 | 84.97%±2.75 |
Benchmarks
Vals Index *
Qwen 3.8 Max
N/AKimi K3
0.00%± 1.00
(26/26)Legal Research Bench *
Qwen 3.8 Max
0.00%± 3.47
(84/84)Kimi K3
0.00%± 3.46
(84/84)Finance Agent v2.1 *
Qwen 3.8 Max
N/AKimi K3
0.00%± 2.09
(30/30)Tax Agent Bench *
Qwen 3.8 Max
0.00%± 3.37
(75/75)Kimi K3
0.00%± 3.39
(75/75)MedCode *
Qwen 3.8 Max
0.00%± 2.03
(107/107)Kimi K3
0.00%± 2.20
(107/107)Terminal-Bench-Science
Qwen 3.8 Max
0.00%± 4.03
(42/42)Kimi K3
0.00%± 1.43
(42/42)Code Migration v1.1 *
Qwen 3.8 Max
N/AKimi K3
0.00%± 3.78
(28/28)Terminal-Bench 4.0
Qwen 3.8 Max
0.00%± 3.94
(54/54)Kimi K3
0.00%± 0.51
(54/54)Vibe Code Bench v1.1 *
Qwen 3.8 Max
0.00%± 5.36
(118/118)Kimi K3
0.00%± 2.75
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
65.60%
vs.48.43%
Finance
59.41%
vs.61.34%
Healthcare
62.81%
vs.68.70%
Math
58.00%
vs.87.00%
Science
18.37%
vs.37.01%
Academic
90.11%
vs.89.68%
Education
51.25%
vs.52.78%
Coding
48.75%
vs.47.19%
Cyber
28.57%
vs.75.24%
Social Mobility
67.12%
vs.68.20%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$7.169
Cost / TestVals Index
N/A
vs.$7.169
Input Cost/ 1M Tokens
$2.00
vs.$3.00
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.30
Output Cost/ 1M Tokens
$6.00
vs.$15.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | Kimi |
| Latency | N/A | 4496.01s |
| Cost (In/Out) | $2 / $6 | $3 / $15 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 1M |
| Input Modality |