Compare Models
Select models (max 7)
Gemini 4 ArgonGPT-6.1 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 69.24%±1.09 | 63.94%±1.07 |
| Legal Research BenchAgentic US legal research | 54.81%±3.46 | 38.46%±3.38 |
| Finance Agent v2.1Core financial analyst tasks | 67.66%±2.00 | 61.82%±2.11 |
| Tax Agent BenchAgentic US corporate tax research | 44.56%±3.59 | 21.75%±2.98 |
| MedCodeMedical billing code support | 58.80%±2.10 | 48.84%±2.12 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 44.29%±5.98 | 52.86%±6.01 |
| Code Migration v1.1Rewriting programs in new languages | 70.80%±3.72 | 77.32%±2.98 |
| 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%± 1.09
(26/26)GPT-6.1 Sol
0.00%± 1.07
(26/26)Legal Research Bench *
Gemini 4 Argon
0.00%± 3.46
(84/84)GPT-6.1 Sol
0.00%± 3.38
(84/84)Finance Agent v2.1 *
Gemini 4 Argon
0.00%± 2.00
(30/30)GPT-6.1 Sol
0.00%± 2.11
(30/30)Tax Agent Bench *
Gemini 4 Argon
0.00%± 3.59
(75/75)GPT-6.1 Sol
0.00%± 2.98
(75/75)MedCode *
Gemini 4 Argon
0.00%± 2.10
(107/107)GPT-6.1 Sol
0.00%± 2.12
(107/107)Terminal-Bench-Science
Gemini 4 Argon
0.00%± 5.98
(42/42)GPT-6.1 Sol
0.00%± 6.01
(42/42)Code Migration v1.1 *
Gemini 4 Argon
0.00%± 3.72
(28/28)GPT-6.1 Sol
0.00%± 2.98
(28/28)Terminal-Bench 4.0
Gemini 4 Argon
0.00%± 2.31
(54/54)GPT-6.1 Sol
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Gemini 4 Argon
0.00%± 1.90
(118/118)GPT-6.1 Sol
0.00%± 1.89
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
56.73%
vs.22.36%
Finance
62.35%
vs.63.66%
Healthcare
73.11%
vs.67.65%
Math
99.00%
vs.99.00%
Science
41.73%
vs.51.80%
Education
53.65%
vs.46.54%
Coding
57.15%
vs.60.79%
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
$13.37
$3.614
Cost / TestVals Index
$13.37
vs.$3.614
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 | 2697.95s | 2664.03s |
| Cost (In/Out) | $4 / $20 | $2 / $10 |
| Context Window | 1M | 1M |
| Max Output Token | 262k | 128k |
| Input Modality |