Compare Models
Select models (max 7)
Ember-1Muse Spark 1.2
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 44.71%±3.46 | 43.75%±3.45 |
| Tax Agent BenchAgentic US corporate tax research | 31.08%±3.34 | 32.80%±2.75 |
| MedCodeMedical billing code support | N/A | 49.35%±2.19 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 5.71%±2.79 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 20.71%±3.64 | 6.06%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 83.87%±3.15 | 79.10%±3.31 |
Benchmarks
Legal Research Bench *
Ember-1
0.00%± 3.46
(84/84)Muse Spark 1.2
0.00%± 3.45
(84/84)Tax Agent Bench *
Ember-1
0.00%± 3.34
(75/75)Muse Spark 1.2
0.00%± 2.75
(75/75)MedCode *
Ember-1
N/AMuse Spark 1.2
0.00%± 2.19
(107/107)Terminal-Bench-Science
Ember-1
0.00%± 2.79
(42/42)Muse Spark 1.2
N/ATerminal-Bench 4.0
Ember-1
0.00%± 3.64
(54/54)Muse Spark 1.2
0.00%± 1.51
(54/54)Vibe Code Bench v1.1 *
Ember-1
0.00%± 3.15
(118/118)Muse Spark 1.2
0.00%± 3.31
(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.64.51%
Finance
31.08%
vs.59.53%
Healthcare
N/A
vs.69.70%
Math
61.00%
vs.43.00%
Science
31.76%
vs.64.81%
Academic
N/A
vs.87.20%
Education
N/A
vs.47.66%
Coding
50.30%
vs.41.18%
Cyber
69.52%
vs.34.76%
Social Mobility
66.17%
vs.68.47%
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.$1.25
Input Cache Read/ 1M Tokens
$0.30
vs.$0.15
Output Cost/ 1M Tokens
$15.00
vs.$4.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Fireworks | Meta |
| Latency | N/A | N/A |
| Cost (In/Out) | $3 / $15 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 131k |
| Input Modality |