Compare Models
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Claude Sonnet 4.6Gemini 4 Argon
| Vals IndexGDP-weighted benchmark | N/A | 68.90%±0.97 |
| Legal Research BenchAgentic US legal research | 38.46%±3.38 | 54.81%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 51.03%±0.33 | 65.40%±0.32 |
| Tax Agent BenchAgentic US corporate tax research | 64.85%±3.11 | 76.23%±2.87 |
| MedCodeMedical billing code support | N/A | 58.80%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 44.29%±5.98 |
| Code MigrationRewriting programs in new languages | 39.89%±4.14 | 68.17%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 57.58%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 51.48%±4.64 | 91.91%±1.90 |
Benchmarks
Vals Index *
Claude Sonnet 4.6
N/AGemini 4 Argon
0.00%± 0.97
(43/43)Legal Research Bench *
Claude Sonnet 4.6
0.00%± 3.38
(73/73)Gemini 4 Argon
0.00%± 3.46
(73/73)Finance Agent (v2) *
Claude Sonnet 4.6
0.00%± 0.33
(74/74)Gemini 4 Argon
0.00%± 0.32
(74/74)Tax Agent Bench *
Claude Sonnet 4.6
0.00%± 3.11
(65/65)Gemini 4 Argon
0.00%± 2.87
(65/65)MedCode *
Claude Sonnet 4.6
N/AGemini 4 Argon
0.00%± 2.10
(104/104)Terminal-Bench Science
Claude Sonnet 4.6
N/AGemini 4 Argon
0.00%± 5.98
(38/38)Code Migration *
Claude Sonnet 4.6
0.00%± 4.14
(73/73)Gemini 4 Argon
0.00%± 4.35
(73/73)Terminal-Bench 4.0
Claude Sonnet 4.6
N/AGemini 4 Argon
0.00%± 2.31
(43/43)Vibe Code Bench v1.1 *
Claude Sonnet 4.6
0.00%± 4.64
(108/108)Gemini 4 Argon
0.00%± 1.90
(108/108)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
41.86%
vs.54.23%
Finance
64.17%
vs.72.29%
Healthcare
N/A
vs.73.11%
Math
N/A
vs.99.00%
Science
N/A
vs.55.36%
Academic
85.51%
vs.N/A
Education
46.58%
vs.53.65%
Coding
50.07%
vs.64.03%
Cyber
N/A
vs.61.07%
Social Mobility
62.45%
vs.69.76%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$15.68
Cost / TestVals Index
N/A
vs.$15.68
Input Cost/ 1M Tokens
$3.00
vs.$4.00
Input Cache Write/ 1M Tokens
$3.75
vs.N/A
Input Cache Read/ 1M Tokens
$0.30
vs.$0.20
Output Cost/ 1M Tokens
$15.00
vs.$20.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 2792.77s |
| Cost (In/Out) | $3 / $15 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 262k |
| Input Modality |