Compare Models
Select models (max 5)
Gemini 4 ArgonGPT-6.1 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 68.90%±0.97 | 61.15%±1.01 |
| Legal Research BenchAgentic US legal research | 54.81%±3.46 | 38.46%±3.38 |
| Finance Agent (v2)Core financial analyst tasks | 65.40%±0.32 | 52.03%±0.31 |
| Tax Agent BenchAgentic US corporate tax research | 76.23%±2.87 | 62.31%±3.20 |
| MedCodeMedical billing code support | 58.80%±2.10 | 48.84%±2.12 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 44.29%±5.98 | N/A |
| Code MigrationRewriting programs in new languages | 68.17%±4.35 | 65.12%±4.36 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 57.58%±2.31 | 55.05%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 91.91%±1.90 | 88.93%±1.89 |
Benchmarks
Vals Index *
Gemini 4 Argon
0.00%± 0.97
(41/41)GPT-6.1 Sol
0.00%± 1.01
(41/41)Legal Research Bench *
Gemini 4 Argon
0.00%± 3.46
(72/72)GPT-6.1 Sol
0.00%± 3.38
(72/72)Finance Agent (v2) *
Gemini 4 Argon
0.00%± 0.32
(73/73)GPT-6.1 Sol
0.00%± 0.31
(73/73)Tax Agent Bench *
Gemini 4 Argon
0.00%± 2.87
(64/64)GPT-6.1 Sol
0.00%± 3.20
(64/64)MedCode *
Gemini 4 Argon
0.00%± 2.10
(104/104)GPT-6.1 Sol
0.00%± 2.12
(104/104)Terminal-Bench Science
Gemini 4 Argon
0.00%± 5.98
(34/34)GPT-6.1 Sol
N/ACode Migration *
Gemini 4 Argon
0.00%± 4.35
(71/71)GPT-6.1 Sol
0.00%± 4.36
(71/71)Terminal-Bench 4.0
Gemini 4 Argon
0.00%± 2.31
(42/42)GPT-6.1 Sol
0.00%± 1.82
(42/42)Vibe Code Bench v1.1 *
Gemini 4 Argon
0.00%± 1.90
(106/106)GPT-6.1 Sol
0.00%± 1.89
(106/106)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-29
Comparison by Industry
Model performance on different sections of the economy.
Legal
54.23%
vs.21.94%
Finance
72.29%
vs.61.71%
Healthcare
73.11%
vs.67.65%
Math
99.00%
vs.99.00%
Science
55.36%
vs.63.01%
Education
53.65%
vs.46.54%
Coding
64.03%
vs.76.50%
Cyber
61.07%
vs.45.02%
Social Mobility
69.76%
vs.59.34%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$15.68
$3.237
Cost / TestVals Index
$15.68
vs.$3.237
Input Cost/ 1M Tokens
$4.00
vs.$2.00
Input Cache Write/ 1M Tokens
N/A
vs.$2.50
Input Cache Read/ 1M Tokens
$0.20
vs.$0.10
Output Cost/ 1M Tokens
$20.00
vs.$10.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | OpenAI |
| Latency | 2792.77s | 2590.01s |
| Cost (In/Out) | $4 / $20 | $2 / $10 |
| Context Window | 1M | 1M |
| Max Output Token | 262k | 128k |
| Input Modality |