Compare Models
Select models (max 7)
Ember-1Mistral Large 4
| Legal Research BenchAgentic US legal research | 44.71%±3.46 | 31.73%±3.23 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 61.38%±2.02 |
| Tax Agent BenchAgentic US corporate tax research | 31.08%±3.34 | 30.39%±3.31 |
| MedCodeMedical billing code support | N/A | 40.69%±2.17 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 5.71%±2.79 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 20.71%±3.64 | 27.78%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.87%±3.15 | 78.40%±3.55 |
Benchmarks
Legal Research Bench *
Ember-1
0.00%± 3.46
(84/84)Mistral Large 4
0.00%± 3.23
(84/84)Finance Agent v2.1 *
Ember-1
N/AMistral Large 4
0.00%± 2.02
(30/30)Tax Agent Bench *
Ember-1
0.00%± 3.34
(75/75)Mistral Large 4
0.00%± 3.31
(75/75)MedCode *
Ember-1
N/AMistral Large 4
0.00%± 2.17
(107/107)Terminal-Bench-Science
Ember-1
0.00%± 2.79
(42/42)Mistral Large 4
N/ATerminal-Bench 4.0
Ember-1
0.00%± 3.64
(54/54)Mistral Large 4
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Ember-1
0.00%± 3.15
(118/118)Mistral Large 4
0.00%± 3.55
(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
44.71%
vs.24.62%
Finance
31.08%
vs.53.58%
Healthcare
N/A
vs.60.56%
Math
61.00%
vs.10.00%
Science
31.76%
vs.39.60%
Coding
50.30%
vs.39.77%
Cyber
69.52%
vs.N/A
Social Mobility
66.17%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$3.00
vs.$1.36
Input Cache Read/ 1M Tokens
$0.30
vs.$0.14
Output Cost/ 1M Tokens
$15.00
vs.$4.18
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | N/A |
| Cost (In/Out) | $3 / $15 | $1.36 / $4.18 |
| Context Window | 1M | 512k |
| Max Output Token | 131k | 256k |
| Input Modality |