Compare Models
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Mercury 3Drex Max
| Vals IndexGDP-weighted benchmark | 43.66%±1.23 | N/A |
| Legal Research BenchAgentic US legal research | 28.85%±3.15 | N/A |
| Finance Agent v2.1Core financial analyst tasks | 54.71%±1.99 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 18.17%±2.54 | N/A |
| Code Migration v1.1Rewriting programs in new languages | 39.26%±3.17 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 3.03%±0.00 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 60.93%±5.38 | N/A |
Benchmarks
Vals Index *
Mercury 3
0.00%± 1.23
(26/26)Drex Max
N/ALegal Research Bench *
Mercury 3
0.00%± 3.15
(84/84)Drex Max
N/AFinance Agent v2.1 *
Mercury 3
0.00%± 1.99
(30/30)Drex Max
N/ATax Agent Bench *
Mercury 3
0.00%± 2.54
(75/75)Drex Max
N/ACode Migration v1.1 *
Mercury 3
0.00%± 3.17
(28/28)Drex Max
N/ATerminal-Bench 4.0
Mercury 3
0.00%± 0.00
(54/54)Drex Max
N/AVibe Code Bench v1.1 *
Mercury 3
0.00%± 5.38
(118/118)Drex Max
N/AOverall 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
16.92%
vs.N/A
Finance
43.59%
vs.99.18%
Coding
34.41%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.478
N/A
Cost / TestVals Index
$0.478
vs.N/A
Input Cost/ 1M Tokens
$0.10
vs.$0.06
Input Cache Read/ 1M Tokens
$0.01
vs.N/A
Output Cost/ 1M Tokens
$0.35
vs.$0.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 1325.89s | N/A |
| Cost (In/Out) | $0.1 / $0.35 | $0.06 / $0 |
| Context Window | 1M | 262k |
| Max Output Token | 131k | 0 |
| Input Modality |