Compare Models
Select models (max 7)
DeepSeek V4 Flash 0731Step 5 Preview
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 30.29%±3.19 | 40.38%±3.41 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 58.90%±2.05 |
| Tax Agent BenchAgentic US corporate tax research | 28.07%±3.16 | 27.27%±3.11 |
| MedCodeMedical billing code support | 41.41%±2.15 | 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 | N/A | 47.00%±3.43 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 18.69%±3.54 | 31.82%±2.62 |
| Vibe Code Bench v1.1Building web apps from scratch | 74.74%±3.44 | 70.40%±4.27 |
Benchmarks
Legal Research Bench *
DeepSeek V4 Flash 0731
0.00%± 3.19
(84/84)Step 5 Preview
0.00%± 3.41
(84/84)Finance Agent v2.1 *
DeepSeek V4 Flash 0731
N/AStep 5 Preview
0.00%± 2.05
(30/30)Tax Agent Bench *
DeepSeek V4 Flash 0731
0.00%± 3.16
(75/75)Step 5 Preview
0.00%± 3.11
(75/75)MedCode *
DeepSeek V4 Flash 0731
0.00%± 2.15
(107/107)Step 5 Preview
N/ATerminal-Bench-Science
DeepSeek V4 Flash 0731
0.00%± 2.44
(42/42)Step 5 Preview
0.00%± 2.01
(42/42)Code Migration v1.1 *
DeepSeek V4 Flash 0731
N/AStep 5 Preview
0.00%± 3.43
(28/28)Terminal-Bench 4.0
DeepSeek V4 Flash 0731
0.00%± 3.54
(54/54)Step 5 Preview
0.00%± 2.62
(54/54)Vibe Code Bench v1.1 *
DeepSeek V4 Flash 0731
0.00%± 3.44
(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
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
54.00%
vs.40.38%
Finance
49.38%
vs.51.91%
Healthcare
60.89%
vs.N/A
Math
56.00%
vs.42.00%
Science
34.37%
vs.29.58%
Academic
88.05%
vs.N/A
Coding
50.41%
vs.45.62%
Cyber
72.08%
vs.0.38%
Social Mobility
N/A
vs.58.12%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$0.44
vs.$1.00
Input Cache Read/ 1M Tokens
$0.014
vs.$0.05
Output Cost/ 1M Tokens
$1.32
vs.$2.70
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | Stepfun |
| Latency | N/A | N/A |
| Cost (In/Out) | $0.44 / $1.32 | $1 / $2.7 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 1M |
| Input Modality |