Perceptron API Pricing
1 paid models · Price range: $0.15 - $0.15 /1M
About Perceptron
Perceptron provides AI models through their API. Compare pricing and find the best model for your needs.
1
Total Models
$0.15
Lowest Input
33k
Max Context
4
Capabilities
Pricing Features
- Pay-per-token billing
🎯 Which Perceptron Model Should You Choose?
Quick recommendations based on your use case.
💰 Perceptron Monthly Cost Examples
Estimated monthly costs for common use cases.
| Use Case | Monthly Usage | Perceptron Mk1 (Budget) |
|---|---|---|
|
Customer Service Bot
1000 conversations/day
|
500k input 200k output |
$0.38/mo |
|
Code Assistant
200 requests/day
|
1.0M input 500k output |
$0.90/mo |
|
Data Analysis
500 analyses/day
|
2.0M input 300k output |
$0.75/mo |
⚔️ Perceptron vs Competitors
How does {brand} compare to other major AI providers?
| Brand | Model | Input /1M | Output /1M | Total /1M | Context | vs {brand} |
|---|---|---|---|---|---|---|
|
Perceptron
|
Perceptron Mk1 Current | $0.15 | $1.50 | $1.65 | 33k | — |
OpenAI
|
Codex Mini | $1.50 | $6.00 | $7.50 | 200k | 355% more |
|
OpenAI
|
GPT-5.2 Pro | $21.00 | $168.00 | $189.00 | 400k | 11355% more |
|
OpenAI
|
GPT-5.2 | $1.75 | $14.00 | $15.75 | 400k | 855% more |
|
OpenAI
|
GPT-5.2 | $1.75 | $14.00 | $15.75 | 400k | 855% more |
|
OpenAI
|
GPT-5.1-Codex-Max | $1.25 | $10.00 | $11.25 | 400k | 582% more |
|
OpenAI
|
GPT-5.1-Codex-Max | $1.25 | $10.00 | $11.25 | 400k | 582% more |
All Models
| Model | Input /1M | Output /1M | Context | Capabilities | Actions | |
|---|---|---|---|---|---|---|
| Perceptron Mk1 Cheapest | $0.15 | $1.50 | 33k | View Details |
❓ Perceptron Pricing FAQ
What is the cheapest Perceptron model?
The cheapest Perceptron model is Perceptron Mk1 at $1.65 per 1M tokens (input + output combined).
What is the maximum context length for Perceptron models?
Perceptron models support up to 33k context length, allowing you to process large documents and maintain long conversations.
How do I choose between Perceptron models?
For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.