Compare Models
Select models (max 5)
DeepSeek V4Gemini 3.1 Pro Preview (02/26)
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 38.63%±1.16 | 33.44%±1.13 |
| Legal Research BenchAgentic US legal research | 23.08%±2.93 | 20.67%±2.81 |
| Finance Agent (v2)Core financial analyst tasks | 44.08%±0.65 | 42.98%±1.21 |
| Tax Agent BenchAgentic US corporate tax research | 58.50%±3.13 | 37.84%±3.10 |
| MedCodeMedical billing code support | 40.45%±2.12 | 59.06%±2.00 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 1.43%±1.43 |
| Code MigrationRewriting programs in new languages | 26.20%±4.04 | 17.31%±3.93 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 11.11%±1.34 | 2.52%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 49.93%±4.77 | 32.03%±4.34 |
Benchmarks
Vals Index *
DeepSeek V4
0.00%± 1.16
(43/43)Gemini 3.1 Pro Preview (02/26)
0.00%± 1.13
(43/43)Legal Research Bench *
DeepSeek V4
0.00%± 2.93
(73/73)Gemini 3.1 Pro Preview (02/26)
0.00%± 2.81
(73/73)Finance Agent (v2) *
DeepSeek V4
0.00%± 0.65
(74/74)Gemini 3.1 Pro Preview (02/26)
0.00%± 1.21
(74/74)Tax Agent Bench *
DeepSeek V4
0.00%± 3.13
(65/65)Gemini 3.1 Pro Preview (02/26)
0.00%± 3.10
(65/65)MedCode *
DeepSeek V4
0.00%± 2.12
(104/104)Gemini 3.1 Pro Preview (02/26)
0.00%± 2.00
(104/104)Terminal-Bench Science
DeepSeek V4
N/AGemini 3.1 Pro Preview (02/26)
0.00%± 1.43
(38/38)Code Migration *
DeepSeek V4
0.00%± 4.04
(73/73)Gemini 3.1 Pro Preview (02/26)
0.00%± 3.93
(73/73)Terminal-Bench 4.0
DeepSeek V4
0.00%± 1.34
(43/43)Gemini 3.1 Pro Preview (02/26)
0.00%± 0.51
(43/43)Vibe Code Bench v1.1 *
DeepSeek V4
0.00%± 4.77
(108/108)Gemini 3.1 Pro Preview (02/26)
0.00%± 4.34
(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
35.72%
vs.36.02%
Finance
56.57%
vs.55.14%
Healthcare
57.80%
vs.67.59%
Math
16.00%
vs.26.00%
Science
N/A
vs.27.38%
Academic
88.32%
vs.91.55%
Education
N/A
vs.48.68%
Coding
43.34%
vs.34.71%
Social Mobility
62.92%
vs.53.79%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$1.306
$2.18
Cost / TestVals Index
$1.306
vs.$2.18
Input Cost/ 1M Tokens
$1.32
vs.$2.00
Input Cache Read/ 1M Tokens
$0.044
vs.$0.20
Output Cost/ 1M Tokens
$3.96
vs.$12.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | Google |
| Latency | 1928.91s | 591.99s |
| Cost (In/Out) | $1.32 / $3.96 | $2 / $12 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 66k |
| Input Modality |