Compare Models
Select models (max 5)
GPT 4.1 MiniWonder Full
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 64.57%±1.07 |
| Legal Research BenchAgentic US legal research | N/A | 53.37%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | N/A | 59.06%±0.21 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 43.00%±3.57 |
| MedCodeMedical billing code support | N/A | 49.93%±2.18 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 37.14%±5.82 |
| Code MigrationRewriting programs in new languages | N/A | 61.03%±4.42 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 58.08%±3.31 |
| Vibe Code Bench v1.1Building web apps from scratch | N/A | 86.00%±1.93 |
Benchmarks
Vals Index *
GPT 4.1 Mini
N/AWonder Full
0.00%± 1.07
(48/48)Legal Research Bench *
GPT 4.1 Mini
N/AWonder Full
0.00%± 3.47
(78/78)Finance Agent (v2) *
GPT 4.1 Mini
N/AWonder Full
0.00%± 0.21
(78/78)Tax Agent Bench *
GPT 4.1 Mini
N/AWonder Full
0.00%± 3.57
(69/69)MedCode *
GPT 4.1 Mini
N/AWonder Full
0.00%± 2.18
(107/107)Terminal-Bench Science
GPT 4.1 Mini
N/AWonder Full
0.00%± 5.82
(41/41)Code Migration *
GPT 4.1 Mini
N/AWonder Full
0.00%± 4.42
(77/77)Terminal-Bench 4.0
GPT 4.1 Mini
N/AWonder Full
0.00%± 3.31
(48/48)Vibe Code Bench v1.1 *
GPT 4.1 Mini
N/AWonder Full
0.00%± 1.93
(112/112)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-13
Comparison by Industry
Model performance on different sections of the economy.
Legal
78.04%
vs.54.15%
Finance
68.71%
vs.57.99%
Healthcare
N/A
vs.69.63%
Math
N/A
vs.94.00%
Science
N/A
vs.48.54%
Academic
71.90%
vs.N/A
Coding
58.16%
vs.52.39%
Cyber
N/A
vs.42.73%
Social Mobility
N/A
vs.73.75%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$8.559
Cost / TestVals Index
N/A
vs.$8.559
Input Cost/ 1M Tokens
$0.40
vs.$4.00
Input Cache Read/ 1M Tokens
$0.10
vs.$0.20
Output Cost/ 1M Tokens
$1.60
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Meta |
| Latency | N/A | 3395.76s |
| Cost (In/Out) | $0.4 / $1.6 | $4 / $20 |
| Context Window | 1M | 1M |
| Max Output Token | 33k | 131k |
| Input Modality |