Compare Models
Select models (max 5)
GPT 5.4 NanoInkling
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 28.67%±1.10 |
| Legal Research BenchAgentic US legal research | 6.25%±1.68 | 28.36%±3.13 |
| Finance Agent (v2)Core financial analyst tasks | 38.22%±1.19 | 46.60%±0.93 |
| Tax Agent BenchAgentic US corporate tax research | 26.58%±2.52 | 43.52%±2.95 |
| MedCodeMedical billing code support | 41.03%±2.26 | 41.19%±2.23 |
| Code MigrationRewriting programs in new languages | 14.47%±4.03 | 11.79%±3.40 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 0.51%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 26.10%±5.08 | 19.21%±3.66 |
Benchmarks
Vals Index *
GPT 5.4 Nano
N/AInkling
0.00%± 1.10
(43/43)Legal Research Bench *
GPT 5.4 Nano
0.00%± 1.68
(73/73)Inkling
0.00%± 3.13
(73/73)Finance Agent (v2) *
GPT 5.4 Nano
0.00%± 1.19
(74/74)Inkling
0.00%± 0.93
(74/74)Tax Agent Bench *
GPT 5.4 Nano
0.00%± 2.52
(65/65)Inkling
0.00%± 2.95
(65/65)MedCode *
GPT 5.4 Nano
0.00%± 2.26
(104/104)Inkling
0.00%± 2.23
(104/104)Code Migration *
GPT 5.4 Nano
0.00%± 4.03
(73/73)Inkling
0.00%± 3.40
(73/73)Terminal-Bench 4.0
GPT 5.4 Nano
N/AInkling
0.00%± 0.51
(43/43)Vibe Code Bench v1.1 *
GPT 5.4 Nano
0.00%± 5.08
(108/108)Inkling
0.00%± 3.66
(108/108)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-02
Comparison by Industry
Model performance on different sections of the economy.
Legal
28.06%
vs.37.80%
Finance
47.21%
vs.53.55%
Healthcare
59.06%
vs.63.30%
Math
N/A
vs.0.00%
Academic
76.09%
vs.83.97%
Education
38.08%
vs.36.55%
Coding
48.59%
vs.27.00%
Cyber
N/A
vs.66.79%
Social Mobility
N/A
vs.58.46%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$1.464
Cost / TestVals Index
N/A
vs.$1.464
Input Cost/ 1M Tokens
$0.20
vs.$1.00
Input Cache Read/ 1M Tokens
$0.02
vs.$0.17
Output Cost/ 1M Tokens
$1.25
vs.$4.05
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Thinking Machines |
| Latency | N/A | 1205.92s |
| Cost (In/Out) | $0.2 / $1.25 | $1 / $4.05 |
| Context Window | 400k | 256k |
| Max Output Token | 128k | 256k |
| Input Modality |