FlexInference
A deadline-aware LLM router that reduces AI inference costs by automatically finding cheaper service tiers within a user-specified time window.
FlexInference
What is FlexInference?
FlexInference vs Similar AI Tools
| Pricing Model | Free, Freemium | Free | Custom Pricing | Free, Paid |
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How to use FlexInference?
- 1Sign up and get your FlexInference API key.
- 2Add a start_within deadline (e.g., 30s) to any request.
- 3Point your existing OpenAI/Anthropic/Gemini client's base URL to https://api.flexinference.com/v1.
- 4Pass your FlexInference key and provider key.
- 5Standard requests are free; flex requests incur a 20% commission on savings.
FlexInference Key Features
- Deadline-aware cost optimization for LLM requests
- Supports OpenAI, Anthropic, and Gemini models
- No changes to your request - same model and parameters
- Edge routing with 3ms overhead across 300+ cities
- Envelope-encrypted provider keys with AES-256-GCM
- Fail-fast error responses with machine-readable codes
- MCP server for agent-assisted management
- Multi-language support (7 languages)
FlexInference Use Cases
- Reduce inference costs for data processing pipelines
- Optimize costs for LLM evals and benchmarks
- Save on summarization and classification tasks
- Cost-effective browser agents and automation
FlexInference Pricing & Free Credits
FlexInference currently operates on a Free, Freemium model.
Standard Level
Free
No per-request fee. Works for all requests without cost optimization.
Flex Level
20% commission
Only pay when FlexInference finds cheaper inference. Commission is 20% of what you save.
FlexInference Pros & Cons
Pros
- Significant cost reduction (claimed 47% average)
- No changes to your existing code or client
- Transparent error messages with actionable fixes
- Free for standard routing
- Supports major LLM providers
Cons
- Added latency for flex requests (about 16% more time to first token)
- Cost savings only apply to flex-capable models
- Commission model may not suit all budgets
What is FlexInference best for?
- Developers running high-volume LLM inference
- Teams looking to reduce AI costs without switching models
- Automated agents and batch processing workloads
FlexInference FAQ
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