Compare Models
Select models (max 5)
Gemini 3.7 FlashGPT 5.5
| Vals IndexGDP-weighted benchmark | 59.31%±1.06 | 57.41%±1.15 |
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 40.38%±3.41 |
| Finance Agent (v2)Core financial analyst tasks | 59.04%±0.27 | 51.76%±0.55 |
| Tax Agent BenchAgentic US corporate tax research | 57.66%±3.31 | 60.46%±3.22 |
| MedCodeMedical billing code support | 53.39%±2.12 | 49.10%±2.19 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | N/A |
| Code MigrationRewriting programs in new languages | 34.80%±4.22 | 45.16%±4.16 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 6.06%±0.88 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 69.85%±4.54 |
Benchmarks
Vals Index *
Gemini 3.7 Flash
0.00%± 1.06
(66/66)GPT 5.5
0.00%± 1.15
(66/66)Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(69/69)GPT 5.5
0.00%± 3.41
(69/69)Finance Agent (v2) *
Gemini 3.7 Flash
0.00%± 0.27
(70/70)GPT 5.5
0.00%± 0.55
(70/70)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.31
(61/61)GPT 5.5
0.00%± 3.22
(61/61)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(102/102)GPT 5.5
0.00%± 2.19
(102/102)Terminal-Bench Science
Gemini 3.7 Flash
0.00%± 2.79
(33/33)GPT 5.5
N/ACode Migration *
Gemini 3.7 Flash
0.00%± 4.22
(69/69)GPT 5.5
0.00%± 4.16
(69/69)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 0.88
(37/37)GPT 5.5
N/AVibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(104/104)GPT 5.5
0.00%± 4.54
(104/104)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.
Vals Index
38.79%
vs.36.95%
Legal
43.54%
vs.43.55%
Finance
65.88%
vs.64.10%
Healthcare
68.67%
vs.67.98%
Math
58.00%
vs.N/A
Science
5.71%
vs.N/A
Academic
91.01%
vs.89.86%
Education
49.23%
vs.51.53%
Coding
51.80%
vs.57.60%
Beta
24.16%
vs.6.08%
Social Mobility
N/A
vs.60.89%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.17
$6.142
Cost / TestVals Index
$4.17
vs.$6.142
Input Cost/ 1M Tokens
$1.50
vs.$5.00
Input Cache Read/ 1M Tokens
$0.15
vs.$0.50
Output Cost/ 1M Tokens
$7.50
vs.$30.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 2592.93s | 1251.25s |
| Cost (In/Out) | $1.5 / $7.5 | $5 / $30 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |