Pareto Inference
Affordable GLM 5.3 Flash inference service
Last reviewed Sep 29, 2026
Pareto Inference provides GLM 5.3 Flash API access with pay-per-token pricing.
LLM API Pricing
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: October 6, 2026
| Model | Input/1M | Output/1M |
|---|---|---|
| $0.090 | $0.300 |
Pareto Inference pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Pros & Cons
Advantages
- User-friendly API documentation
- Wide range of coding agent support
- Competitive token pricing structure
Limitations
- Pricing details require review for precision
- Limited availability of cached token services
Key Features
Direct API Access
Provides access through APIs compatible with various coding environments.
Support for Multiple Programming Languages
Works with Python, TypeScript, and several agent integrations.
High Uptime and Fast Response
Maintains 100% uptime and an average time to first response of 1.75 seconds.
Rewards Program
Offers rewards for user referrals and API usage.
Availability & Support
Support
Access to support is available through documentation and user forums.
Getting Started
- 1
Create an Account
Sign up on the Pareto Inference platform.
- 2
Obtain API Key
Generate an API key from your account settings.
- 3
Set Up Environment
Install required SDKs and configure your app with the API key.
- 4
Make API Calls
Use provided examples to initiate requests to the GLM 5.3 Flash model.
Frequently Asked Questions
Which models does Pareto Inference serve?
Check the pricing table above for the models Pareto Inference currently serves and their per-token rates.
How do I get started with Pareto Inference?
Create an Account, Obtain API Key, Set Up Environment, Make API Calls
What are Pareto Inference's main advantages?
Pareto Inference's main advantages include: User-friendly API documentation, Wide range of coding agent support, Competitive token pricing structure.
What are Pareto Inference's limitations?
Pareto Inference's main limitations include: Pricing details require review for precision, Limited availability of cached token services.
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