Compare Models

Select models (max 5)
GPT 5.4 MiniInkling
Benchmarks

Vals Index *

GPT 5.4 Mini
0.00%± 1.28
(43/43)
Inkling
0.00%± 1.10
(43/43)

Legal Research Bench *

GPT 5.4 Mini
0.00%± 2.30
(73/73)
Inkling
0.00%± 3.13
(73/73)

Finance Agent (v2) *

GPT 5.4 Mini
0.00%± 0.45
(74/74)
Inkling
0.00%± 0.93
(74/74)

Tax Agent Bench *

GPT 5.4 Mini
0.00%± 3.10
(65/65)
Inkling
0.00%± 2.95
(65/65)

MedCode *

GPT 5.4 Mini
N/A
Inkling
0.00%± 2.23
(104/104)

Code Migration *

GPT 5.4 Mini
0.00%± 3.64
(73/73)
Inkling
0.00%± 3.40
(73/73)

Terminal-Bench 4.0

GPT 5.4 Mini
0.00%± 1.01
(43/43)
Inkling
0.00%± 0.51
(43/43)

Vibe Code Bench v1.1 *

GPT 5.4 Mini
0.00%± 5.61
(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
6.25%
37.80%
Finance
52.42%
53.55%
Healthcare
N/A
63.30%
Math
N/A
0.00%
Academic
82.29%
83.97%
Education
50.81%
36.55%
Coding
36.32%
27.00%
Cyber
N/A
66.79%
Social Mobility
N/A
58.46%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$1.452
$1.464
Cost / TestVals Index
$1.452
$1.464
Input Cost/ 1M Tokens
$0.75
$1.00
Input Cache Read/ 1M Tokens
$0.075
$0.17
Output Cost/ 1M Tokens
$4.50
$4.05

Model Metadata

Basic information about each model.

Model provider
OpenAIOpenAI
Thinking MachinesThinking Machines
Latency1788.54s1205.92s
Cost (In/Out)$0.75 / $4.5$1 / $4.05
Context Window400k256k
Max Output Token128k256k
Input Modality