Compare Models
Select models (max 7)
DeepSeek V4 Pro 0813Step 5 Preview
| Vals IndexGDP-weighted benchmark | 52.97%±1.04 | N/A |
| Legal Research BenchAgentic US legal research | 40.87%±3.42 | 40.38%±3.41 |
| Finance Agent v2.1Core financial analyst tasks | 57.12%±2.08 | 58.90%±2.05 |
| Tax Agent BenchAgentic US corporate tax research | 26.76%±3.09 | 27.27%±3.11 |
| MedCodeMedical billing code support | 42.47%±2.16 | N/A |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 2.86%±2.01 |
| Code Migration v1.1Rewriting programs in new languages | 51.99%±2.23 | 47.00%±3.43 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 14.14%±2.02 | 31.82%±2.62 |
| Vibe Code Bench v1.1Building web apps from scratch | 82.30%±3.15 | 70.40%±4.27 |
Benchmarks
Vals Index *
DeepSeek V4 Pro 0813
0.00%± 1.04
(26/26)Step 5 Preview
N/ALegal Research Bench *
DeepSeek V4 Pro 0813
0.00%± 3.42
(84/84)Step 5 Preview
0.00%± 3.41
(84/84)Finance Agent v2.1 *
DeepSeek V4 Pro 0813
0.00%± 2.08
(30/30)Step 5 Preview
0.00%± 2.05
(30/30)Tax Agent Bench *
DeepSeek V4 Pro 0813
0.00%± 3.09
(75/75)Step 5 Preview
0.00%± 3.11
(75/75)MedCode *
DeepSeek V4 Pro 0813
0.00%± 2.16
(107/107)Step 5 Preview
N/ATerminal-Bench-Science
DeepSeek V4 Pro 0813
0.00%± 2.44
(42/42)Step 5 Preview
0.00%± 2.01
(42/42)Code Migration v1.1 *
DeepSeek V4 Pro 0813
0.00%± 2.23
(28/28)Step 5 Preview
0.00%± 3.43
(28/28)Terminal-Bench 4.0
DeepSeek V4 Pro 0813
0.00%± 2.02
(54/54)Step 5 Preview
0.00%± 2.62
(54/54)Vibe Code Bench v1.1 *
DeepSeek V4 Pro 0813
0.00%± 3.15
(118/118)Step 5 Preview
0.00%± 4.27
(118/118)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
44.69%
vs.40.38%
Finance
55.51%
vs.51.91%
Healthcare
61.32%
vs.N/A
Math
50.00%
vs.42.00%
Science
4.29%
vs.29.58%
Academic
89.70%
vs.N/A
Coding
50.59%
vs.45.62%
Cyber
37.38%
vs.0.38%
Social Mobility
N/A
vs.58.12%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$2.50
N/A
Cost / TestVals Index
$2.50
vs.N/A
Input Cost/ 1M Tokens
$1.32
vs.$1.00
Input Cache Read/ 1M Tokens
$0.044
vs.$0.05
Output Cost/ 1M Tokens
$3.96
vs.$2.70
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 3482.91s | N/A |
| Cost (In/Out) | $1.32 / $3.96 | $1 / $2.7 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 1M |
| Input Modality |