Compare Models
Select models (max 5)
DeepSeek V4.1 Flash 1017GPT-6.1 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 56.58%±1.27 | 61.15%±1.01 |
| Legal Research BenchAgentic US legal research | 45.19%±3.46 | 38.46%±3.38 |
| Finance Agent (v2)Core financial analyst tasks | 56.96%±2.05 | 52.03%±0.31 |
| Tax Agent BenchAgentic US corporate tax research | 44.35%±3.57 | 21.75%±2.98 |
| MedCodeMedical billing code support | N/A | 48.84%±2.12 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | N/A | 52.86%±6.01 |
| Code MigrationRewriting programs in new languages | 44.21%±4.46 | 65.12%±4.36 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 31.82%±2.62 | 55.05%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 87.73%±2.75 | 88.93%±1.89 |
Benchmarks
Vals Index *
DeepSeek V4.1 Flash 1017
0.00%± 1.27
(50/50)GPT-6.1 Sol
0.00%± 1.01
(50/50)Legal Research Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.46
(80/80)GPT-6.1 Sol
0.00%± 3.38
(80/80)Finance Agent (v2) *
DeepSeek V4.1 Flash 1017
0.00%± 2.05
(80/80)GPT-6.1 Sol
0.00%± 0.31
(80/80)Tax Agent Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.57
(71/71)GPT-6.1 Sol
0.00%± 2.98
(71/71)MedCode *
DeepSeek V4.1 Flash 1017
N/AGPT-6.1 Sol
0.00%± 2.12
(107/107)Terminal-Bench-Science
DeepSeek V4.1 Flash 1017
N/AGPT-6.1 Sol
0.00%± 6.01
(41/41)Code Migration *
DeepSeek V4.1 Flash 1017
0.00%± 4.46
(79/79)GPT-6.1 Sol
0.00%± 4.36
(79/79)Terminal-Bench 4.0
DeepSeek V4.1 Flash 1017
0.00%± 2.62
(50/50)GPT-6.1 Sol
0.00%± 1.82
(50/50)Vibe Code Bench v1.1 *
DeepSeek V4.1 Flash 1017
0.00%± 2.75
(114/114)GPT-6.1 Sol
0.00%± 1.89
(114/114)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-18
Comparison by Industry
Model performance on different sections of the economy.
Legal
27.18%
vs.21.94%
Finance
54.37%
vs.48.19%
Healthcare
N/A
vs.67.65%
Math
N/A
vs.99.00%
Science
N/A
vs.51.80%
Education
N/A
vs.46.54%
Coding
54.59%
vs.58.76%
Cyber
N/A
vs.45.02%
Social Mobility
N/A
vs.59.34%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.637
$3.237
Cost / TestVals Index
$0.637
vs.$3.237
Input Cost/ 1M Tokens
$0.30
vs.$2.00
Input Cache Write/ 1M Tokens
N/A
vs.$2.50
Input Cache Read/ 1M Tokens
$0.006
vs.$0.10
Output Cost/ 1M Tokens
$1.20
vs.$10.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | OpenAI |
| Latency | 2193.12s | 2590.01s |
| Cost (In/Out) | $0.3 / $1.2 | $2 / $10 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 128k |
| Input Modality |