Compare Models
Select models (max 7)
Qwen 3.8 MaxMuse Spark 1.2
| Legal Research BenchAgentic US legal research | 47.60%±3.47 | 43.75%±3.45 |
| Tax Agent BenchAgentic US corporate tax research | 32.09%±3.37 | 32.80%±2.75 |
| MedCodeMedical billing code support | 40.67%±2.03 | 49.35%±2.19 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 12.86%±4.03 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 34.34%±3.94 | 6.06%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.70%±5.36 | 79.10%±3.31 |
Benchmarks
Legal Research Bench *
Qwen 3.8 Max
0.00%± 3.47
(84/84)Muse Spark 1.2
0.00%± 3.45
(84/84)Tax Agent Bench *
Qwen 3.8 Max
0.00%± 3.37
(75/75)Muse Spark 1.2
0.00%± 2.75
(75/75)MedCode *
Qwen 3.8 Max
0.00%± 2.03
(107/107)Muse Spark 1.2
0.00%± 2.19
(107/107)Terminal-Bench-Science
Qwen 3.8 Max
0.00%± 4.03
(42/42)Muse Spark 1.2
N/ATerminal-Bench 4.0
Qwen 3.8 Max
0.00%± 3.94
(54/54)Muse Spark 1.2
0.00%± 1.51
(54/54)Vibe Code Bench v1.1 *
Qwen 3.8 Max
0.00%± 5.36
(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
Comparison by Industry
Model performance on different sections of the economy.
Legal
65.60%
vs.64.51%
Finance
59.41%
vs.59.53%
Healthcare
62.81%
vs.69.70%
Math
58.00%
vs.43.00%
Science
18.37%
vs.64.81%
Academic
90.11%
vs.87.20%
Education
51.25%
vs.47.66%
Coding
48.75%
vs.41.18%
Cyber
28.57%
vs.34.76%
Social Mobility
67.12%
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
$2.00
vs.$1.25
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.15
Output Cost/ 1M Tokens
$6.00
vs.$4.25
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | N/A |
| Cost (In/Out) | $2 / $6 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 131k |
| Input Modality |