Compare Models
Select models (max 5)
Qwen 3.8 MaxDeepSeek V4 Pro 0813
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 48.27%±1.34 | 47.63%±1.12 |
| Legal Research BenchAgentic US legal research | 47.60%±3.47 | 40.87%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 50.59%±0.58 | 50.39%±0.25 |
| Tax Agent BenchAgentic US corporate tax research | 65.96%±3.18 | 58.66%±3.14 |
| MedCodeMedical billing code support | 40.67%±2.03 | 42.47%±2.16 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 12.86%±4.03 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 23.96%±4.31 | 41.54%±4.30 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 34.34%±3.94 | 14.14%±2.02 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.70%±5.36 | 82.30%±3.15 |
Benchmarks
Vals Index *
Qwen 3.8 Max
0.00%± 1.34
(43/43)DeepSeek V4 Pro 0813
0.00%± 1.12
(43/43)Legal Research Bench *
Qwen 3.8 Max
0.00%± 3.47
(73/73)DeepSeek V4 Pro 0813
0.00%± 3.42
(73/73)Finance Agent (v2) *
Qwen 3.8 Max
0.00%± 0.58
(74/74)DeepSeek V4 Pro 0813
0.00%± 0.25
(74/74)Tax Agent Bench *
Qwen 3.8 Max
0.00%± 3.18
(65/65)DeepSeek V4 Pro 0813
0.00%± 3.14
(65/65)MedCode *
Qwen 3.8 Max
0.00%± 2.03
(104/104)DeepSeek V4 Pro 0813
0.00%± 2.16
(104/104)Terminal-Bench Science
Qwen 3.8 Max
0.00%± 4.03
(38/38)DeepSeek V4 Pro 0813
0.00%± 2.44
(38/38)Code Migration *
Qwen 3.8 Max
0.00%± 4.31
(73/73)DeepSeek V4 Pro 0813
0.00%± 4.30
(73/73)Terminal-Bench 4.0
Qwen 3.8 Max
0.00%± 3.94
(43/43)DeepSeek V4 Pro 0813
0.00%± 2.02
(43/43)Vibe Code Bench v1.1 *
Qwen 3.8 Max
0.00%± 5.36
(108/108)DeepSeek V4 Pro 0813
0.00%± 3.15
(108/108)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-02
Comparison by Industry
Model performance on different sections of the economy.
Legal
47.21%
vs.43.58%
Finance
63.23%
vs.58.73%
Healthcare
62.81%
vs.61.32%
Math
58.00%
vs.50.00%
Science
18.37%
vs.4.29%
Academic
90.11%
vs.89.70%
Education
51.25%
vs.N/A
Coding
46.69%
vs.49.43%
Cyber
28.57%
vs.72.86%
Social Mobility
67.12%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.964
$3.352
Cost / TestVals Index
$4.964
vs.$3.352
Input Cost/ 1M Tokens
$2.00
vs.$1.32
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.044
Output Cost/ 1M Tokens
$6.00
vs.$3.96
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | DeepSeek |
| Latency | 6070.72s | 3845.24s |
| Cost (In/Out) | $2 / $6 | $1.32 / $3.96 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 384k |
| Input Modality |