Compare Models
Select models (max 7)
Qwen 3.8 MaxMuse Spark Open
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 48.57%±1.09 |
| Legal Research BenchAgentic US legal research | 47.60%±3.47 | 38.46%±3.38 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 60.66%±2.06 |
| Tax Agent BenchAgentic US corporate tax research | 32.09%±3.37 | 26.32%±2.65 |
| MedCodeMedical billing code support | 40.67%±2.03 | N/A |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 12.86%±4.03 | N/A |
| Code Migration v1.1Rewriting programs in new languages | N/A | 26.89%±3.23 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 34.34%±3.94 | 6.57%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.70%±5.36 | 76.19%±3.32 |
Benchmarks
Vals Index *
Qwen 3.8 Max
N/AMuse Spark Open
0.00%± 1.09
(26/26)Legal Research Bench *
Qwen 3.8 Max
0.00%± 3.47
(84/84)Muse Spark Open
0.00%± 3.38
(84/84)Finance Agent v2.1 *
Qwen 3.8 Max
N/AMuse Spark Open
0.00%± 2.06
(30/30)Tax Agent Bench *
Qwen 3.8 Max
0.00%± 3.37
(75/75)Muse Spark Open
0.00%± 2.65
(75/75)MedCode *
Qwen 3.8 Max
0.00%± 2.03
(107/107)Muse Spark Open
N/ATerminal-Bench-Science
Qwen 3.8 Max
0.00%± 4.03
(42/42)Muse Spark Open
N/ACode Migration v1.1 *
Qwen 3.8 Max
N/AMuse Spark Open
0.00%± 3.23
(28/28)Terminal-Bench 4.0
Qwen 3.8 Max
0.00%± 3.94
(54/54)Muse Spark Open
0.00%± 0.51
(54/54)Vibe Code Bench v1.1 *
Qwen 3.8 Max
0.00%± 5.36
(118/118)Muse Spark Open
0.00%± 3.32
(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
65.60%
vs.31.73%
Finance
59.41%
vs.49.66%
Healthcare
62.81%
vs.N/A
Math
58.00%
vs.N/A
Science
18.37%
vs.N/A
Academic
90.11%
vs.N/A
Education
51.25%
vs.N/A
Coding
48.75%
vs.36.55%
Cyber
28.57%
vs.N/A
Social Mobility
67.12%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$4.718
Cost / TestVals Index
N/A
vs.$4.718
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 | Alibaba | Together |
| Latency | N/A | 4925.41s |
| Cost (In/Out) | $2 / $6 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 131k |
| Input Modality |