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FlexAI

FlexAI is an OpenAI-compatible AI infrastructure platform for serverless

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T10:04:03.101Z. Cached copy · Source on flex.ai

# FlexAI

> FlexAI is an OpenAI-compatible AI infrastructure platform for serverless
> inference, dedicated endpoints, agent workloads, and private AI cloud
> deployments. One account spans open models on a usage-priced API (Token
> Factory), AgentOS (in trial), dedicated endpoints and managed
> fine-tuning, and a private AI cloud (AI Factory).

This file follows the llms.txt convention (https://llmstxt.org/) so that
answer-engine and LLM crawlers can discover the canonical pages on flex.ai
without parsing the marketing chrome.

A companion machine-readable catalog lives at https://flex.ai/llms-full.txt:
every served model with its canonical URL, availability, modality and current
public rates. It is an experimental convenience for crawlers, not a ranking or
a recommendation.

## Products

- [Token Factory](https://flex.ai/token-factory): OpenAI-compatible inference API. One key across text, vision, image, video, and audio models, priced by usage (per token for text and vision; per image, per generated video, or per minute or million characters for audio).
- [Dedicated Endpoints](https://flex.ai/dedicated-endpoints): Reserved GPU throughput for your models and fine-tunes, on the same OpenAI-compatible account.
- [Models](https://flex.ai/models): The live model catalog: serverless (Token Factory) and dedicated-endpoint open models with per-model pricing and specs.
- [Inference](https://flex.ai/inference): Serverless, batch, and dedicated inference endpoints with auto-scaling; dedicated GPUs are priced per GPU-hour, metered per minute, and autoscale.
- [AgentOS](https://flex.ai/agent-os): Run your agents on FlexAI with runtime, model, and hardware independence. Available in trial for selected teams.
- [Fine-tuning](https://flex.ai/fine-tuning): Managed fine-tuning with LoRA/QLoRA on open-source models.
- [Training](https://flex.ai/training): Distributed training jobs with checkpoint resume and multi-node DDP.
- [Platform overview](https://flex.ai/platform): How the managed AI services and infrastructure building blocks fit together.
- [AI Factory](https://flex.ai/ai-factory): The FlexAI platform deployed on your own hardware: VPC, on-prem, or air-gapped. Talk to us.

## Use cases

- [Use cases](https://flex.ai/use-cases): Common agents built as multi-model pipelines behind one key.
- [Coding agents](https://flex.ai/use-cases/coding-agents): Generate, review, and repair code (Qwen3 Coder, GPT-OSS).
- [Research agents](https://flex.ai/use-cases/research-agents): Retrieve, reason, and synthesize (BGE-M3, DeepSeek).
- [Support agents](https://flex.ai/use-cases/support-agents): Transcribe, retrieve, respond, and speak (Whisper, BGE-M3, GPT-OSS, Kokoro).
- [Workflow automation](https://flex.ai/use-cases/workflow-automation): Plan and execute multi-step tool calls (GPT-OSS, Mistral).
- [Multimodal generation](https://flex.ai/use-cases/multimodal-generation): Generate images and describe them (FLUX.1, Gemma).
- [Private copilots](https://flex.ai/use-cases/
…

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