Compare Models
Select models (max 5)
Gemini 3.1 Pro Preview (02/26)GPT 5.4 Nano
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 33.44%±1.13 | N/A |
| Legal Research BenchAgentic US legal research | 20.67%±2.81 | 6.25%±1.68 |
| Finance Agent (v2)Core financial analyst tasks | 42.98%±1.21 | 38.22%±1.19 |
| Tax Agent BenchAgentic US corporate tax research | 37.84%±3.10 | 26.58%±2.52 |
| MedCodeMedical billing code support | 59.06%±2.00 | 41.03%±2.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 1.43%±1.43 | N/A |
| Code MigrationRewriting programs in new languages | 17.31%±3.93 | 14.47%±4.03 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 2.52%±0.51 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 32.03%±4.34 | 26.10%±5.08 |
Benchmarks
Vals Index *
Gemini 3.1 Pro Preview (02/26)
0.00%± 1.13
(43/43)GPT 5.4 Nano
N/ALegal Research Bench *
Gemini 3.1 Pro Preview (02/26)
0.00%± 2.81
(73/73)GPT 5.4 Nano
0.00%± 1.68
(73/73)Finance Agent (v2) *
Gemini 3.1 Pro Preview (02/26)
0.00%± 1.21
(74/74)GPT 5.4 Nano
0.00%± 1.19
(74/74)Tax Agent Bench *
Gemini 3.1 Pro Preview (02/26)
0.00%± 3.10
(65/65)GPT 5.4 Nano
0.00%± 2.52
(65/65)MedCode *
Gemini 3.1 Pro Preview (02/26)
0.00%± 2.00
(104/104)GPT 5.4 Nano
0.00%± 2.26
(104/104)Terminal-Bench Science
Gemini 3.1 Pro Preview (02/26)
0.00%± 1.43
(38/38)GPT 5.4 Nano
N/ACode Migration *
Gemini 3.1 Pro Preview (02/26)
0.00%± 3.93
(73/73)GPT 5.4 Nano
0.00%± 4.03
(73/73)Terminal-Bench 4.0
Gemini 3.1 Pro Preview (02/26)
0.00%± 0.51
(43/43)GPT 5.4 Nano
N/AVibe Code Bench v1.1 *
Gemini 3.1 Pro Preview (02/26)
0.00%± 4.34
(108/108)GPT 5.4 Nano
0.00%± 5.08
(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
36.02%
vs.28.06%
Finance
55.14%
vs.47.21%
Healthcare
67.59%
vs.59.06%
Math
26.00%
vs.N/A
Science
27.38%
vs.N/A
Academic
91.55%
vs.76.09%
Education
48.68%
vs.38.08%
Coding
34.71%
vs.48.59%
Social Mobility
53.79%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$2.18
N/A
Cost / TestVals Index
$2.18
vs.N/A
Input Cost/ 1M Tokens
$2.00
vs.$0.20
Input Cache Read/ 1M Tokens
$0.20
vs.$0.02
Output Cost/ 1M Tokens
$12.00
vs.$1.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | OpenAI |
| Latency | 591.99s | N/A |
| Cost (In/Out) | $2 / $12 | $0.2 / $1.25 |
| Context Window | 1M | 400k |
| Max Output Token | 66k | 128k |
| Input Modality |