Compare Models
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Claude Sonnet 5.5Gemini 4 Argon
| Vals IndexGDP-weighted benchmark | 70.85%±0.93 | 69.24%±1.09 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 54.81%±3.46 |
| Finance Agent v2.1Core financial analyst tasks | 67.28%±2.02 | 67.66%±2.00 |
| Tax Agent BenchAgentic US corporate tax research | 41.96%±3.56 | 44.56%±3.59 |
| MedCodeMedical billing code support | 52.92%±2.12 | 58.80%±2.10 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 47.14%±6.01 | 44.29%±5.98 |
| Code Migration v1.1Rewriting programs in new languages | 86.88%±1.52 | 70.80%±3.72 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 64.14%±1.01 | 57.58%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 92.39%±1.26 | 91.91%±1.90 |
Benchmarks
Vals Index *
Claude Sonnet 5.5
0.00%± 0.93
(26/26)Gemini 4 Argon
0.00%± 1.09
(26/26)Legal Research Bench *
Claude Sonnet 5.5
0.00%± 3.47
(84/84)Gemini 4 Argon
0.00%± 3.46
(84/84)Finance Agent v2.1 *
Claude Sonnet 5.5
0.00%± 2.02
(30/30)Gemini 4 Argon
0.00%± 2.00
(30/30)Tax Agent Bench *
Claude Sonnet 5.5
0.00%± 3.56
(75/75)Gemini 4 Argon
0.00%± 3.59
(75/75)MedCode *
Claude Sonnet 5.5
0.00%± 2.12
(107/107)Gemini 4 Argon
0.00%± 2.10
(107/107)Terminal-Bench-Science
Claude Sonnet 5.5
0.00%± 6.01
(42/42)Gemini 4 Argon
0.00%± 5.98
(42/42)Code Migration v1.1 *
Claude Sonnet 5.5
0.00%± 1.52
(28/28)Gemini 4 Argon
0.00%± 3.72
(28/28)Terminal-Bench 4.0
Claude Sonnet 5.5
0.00%± 1.01
(54/54)Gemini 4 Argon
0.00%± 2.31
(54/54)Vibe Code Bench v1.1 *
Claude Sonnet 5.5
0.00%± 1.26
(118/118)Gemini 4 Argon
0.00%± 1.90
(118/118)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.
Legal
29.25%
vs.56.73%
Finance
71.28%
vs.62.35%
Healthcare
72.01%
vs.73.11%
Math
100.00%
vs.99.00%
Science
59.12%
vs.41.73%
Education
51.77%
vs.53.65%
Coding
65.22%
vs.57.15%
Cyber
44.87%
vs.61.07%
Social Mobility
67.19%
vs.69.76%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$18.70
$13.37
Cost / TestVals Index
$18.70
vs.$13.37
Input Cost/ 1M Tokens
$2.00
vs.$4.00
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.10
vs.$0.20
Output Cost/ 1M Tokens
$10.00
vs.$20.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 5158.77s | 2697.95s |
| Cost (In/Out) | $2 / $10 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 262k |
| Input Modality |