Compare Models
Select models (max 7)
Ember-1GPT-6 Luna
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 52.32%±1.12 |
| Legal Research BenchAgentic US legal research | 44.71%±3.46 | 30.29%±3.19 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 56.84%±2.12 |
| Tax Agent BenchAgentic US corporate tax research | 31.08%±3.34 | 19.95%±2.87 |
| MedCodeMedical billing code support | N/A | 44.69%±2.30 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 4.29%±2.44 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 46.67%±3.61 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 20.71%±3.64 | 13.64%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.87%±3.15 | 81.65%±3.38 |
Benchmarks
Vals Index *
Ember-1
N/AGPT-6 Luna
0.00%± 1.12
(26/26)Legal Research Bench *
Ember-1
0.00%± 3.46
(84/84)GPT-6 Luna
0.00%± 3.19
(84/84)Finance Agent v2.1 *
Ember-1
N/AGPT-6 Luna
0.00%± 2.12
(30/30)Tax Agent Bench *
Ember-1
0.00%± 3.34
(75/75)GPT-6 Luna
0.00%± 2.87
(75/75)MedCode *
Ember-1
N/AGPT-6 Luna
0.00%± 2.30
(107/107)Terminal-Bench-Science
Ember-1
0.00%± 2.79
(42/42)GPT-6 Luna
0.00%± 2.44
(42/42)Code Migration v1.1 *
Ember-1
N/AGPT-6 Luna
0.00%± 3.61
(28/28)Terminal-Bench 4.0
Ember-1
0.00%± 3.64
(54/54)GPT-6 Luna
0.00%± 1.51
(54/54)Vibe Code Bench v1.1 *
Ember-1
0.00%± 3.15
(118/118)GPT-6 Luna
0.00%± 3.38
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
44.71%
vs.17.23%
Finance
31.08%
vs.61.48%
Healthcare
N/A
vs.64.20%
Math
61.00%
vs.64.00%
Science
31.76%
vs.28.38%
Education
N/A
vs.48.09%
Coding
50.30%
vs.39.25%
Cyber
69.52%
vs.39.46%
Social Mobility
66.17%
vs.57.65%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.45
Cost / TestVals Index
N/A
vs.$0.45
Input Cost/ 1M Tokens
$3.00
vs.$0.10
Input Cache Write/ 1M Tokens
N/A
vs.$0.125
Input Cache Read/ 1M Tokens
$0.30
vs.$0.01
Output Cost/ 1M Tokens
$15.00
vs.$0.50
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Fireworks | OpenAI |
| Latency | N/A | 1943.19s |
| Cost (In/Out) | $3 / $15 | $0.1 / $0.5 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |