Compare Models
Select models (max 5)
GPT 4.1Muse Spark Open
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 46.61%±1.20 |
| Legal Research BenchAgentic US legal research | N/A | 38.46%±3.38 |
| Finance Agent (v2)Core financial analyst tasks | N/A | 61.34%±2.09 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 26.32%±2.65 |
| Code MigrationRewriting programs in new languages | N/A | 21.17%±3.47 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 6.57%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | N/A | 76.19%±3.32 |
Benchmarks
Vals Index *
GPT 4.1
N/AMuse Spark Open
0.00%± 1.20
(49/49)Legal Research Bench *
GPT 4.1
N/AMuse Spark Open
0.00%± 3.38
(79/79)Finance Agent (v2) *
GPT 4.1
N/AMuse Spark Open
0.00%± 2.09
(79/79)Tax Agent Bench *
GPT 4.1
N/AMuse Spark Open
0.00%± 2.65
(70/70)Code Migration *
GPT 4.1
N/AMuse Spark Open
0.00%± 3.47
(78/78)Terminal-Bench 4.0
GPT 4.1
N/AMuse Spark Open
0.00%± 0.51
(49/49)Vibe Code Bench v1.1 *
GPT 4.1
N/AMuse Spark Open
0.00%± 3.32
(113/113)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-16
Comparison by Industry
Model performance on different sections of the economy.
Legal
83.10%
vs.27.56%
Finance
70.50%
vs.47.11%
Academic
72.76%
vs.N/A
Coding
54.67%
vs.34.64%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$4.077
Cost / TestVals Index
N/A
vs.$4.077
Input Cost/ 1M Tokens
$2.00
vs.$1.25
Input Cache Read/ 1M Tokens
$0.50
vs.$0.15
Output Cost/ 1M Tokens
$8.00
vs.$4.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Together |
| Latency | N/A | 4059.60s |
| Cost (In/Out) | $2 / $8 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 33k | 131k |
| Input Modality |