Compare Models
Select models (max 7)
Grok 4.20 (Reasoning)Gemini 4 Hydrogen
| Vals IndexGDP-weighted benchmark | N/A | 68.49%±0.99 |
| Legal Research BenchAgentic US legal research | 13.94%±2.41 | 53.85%±3.46 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 65.12%±2.04 |
| Tax Agent BenchAgentic US corporate tax research | 6.95%±1.75 | 52.30%±3.60 |
| MedCodeMedical billing code support | 32.16%±2.12 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 54.04%±3.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 4.06%±2.06 | 87.78%±2.29 |
Benchmarks
Vals Index *
Grok 4.20 (Reasoning)
N/AGemini 4 Hydrogen
0.00%± 0.99
(37/37)Legal Research Bench *
Grok 4.20 (Reasoning)
0.00%± 2.41
(94/94)Gemini 4 Hydrogen
0.00%± 3.46
(94/94)Finance Agent v2.1 *
Grok 4.20 (Reasoning)
N/AGemini 4 Hydrogen
0.00%± 2.04
(40/40)Tax Agent Bench *
Grok 4.20 (Reasoning)
0.00%± 1.75
(85/85)Gemini 4 Hydrogen
0.00%± 3.60
(85/85)MedCode *
Grok 4.20 (Reasoning)
0.00%± 2.12
(107/107)Gemini 4 Hydrogen
N/ATerminal-Bench 4.0
Grok 4.20 (Reasoning)
N/AGemini 4 Hydrogen
0.00%± 3.31
(64/64)Vibe Code Bench v1.1 *
Grok 4.20 (Reasoning)
0.00%± 2.06
(128/128)Gemini 4 Hydrogen
0.00%± 2.29
(128/128)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
Comparison by Industry
Model performance on different sections of the economy.
Legal
45.84%
vs.32.55%
Finance
42.14%
vs.64.41%
Healthcare
47.78%
vs.N/A
Academic
86.12%
vs.N/A
Coding
53.51%
vs.70.91%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$9.838
Cost / TestVals Index
N/A
vs.$9.838
Input Cost/ 1M Tokens
$2.00
vs.$1.50
Input Cache Read/ 1M Tokens
$0.20
vs.$0.15
Output Cost/ 1M Tokens
$6.00
vs.$7.50
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 1924.73s |
| Cost (In/Out) | $2 / $6 | $1.5 / $7.5 |
| Context Window | 2M | 1M |
| Max Output Token | 2M | 1M |
| Input Modality |