FriendliAI review
Flexible open-model inference with OpenAI-compatible APIs and usage-based billing.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
FriendliAI is an AI inference platform for teams that need hosted open-weight models or dedicated hardware for custom deployments. Its Model APIs provide OpenAI-compatible chat, responses and messages interfaces for text and vision inference, while Dedicated Endpoints run custom or Hugging Face models on GPUs. Multimodal inputs cover text, images, audio and video; the platform also offers audio transcription, tool calling, structured outputs and autoscaling. It is positioned for small, mid-market and enterprise teams across cloud and self-hosted environments.
Pricing is usage-based rather than subscription-based. The Gemma 4 31B input Model API is listed at $0.14 per 1M tokens, and Gemma 4 31B output is $0.40 per 1M tokens; both include hosted text and vision inference with an OpenAI-compatible API. Speech-to-text using Whisper large v3 costs $0.0015 per audio minute. Dedicated Endpoint options use A100 80GB, H100 80GB, H200 141GB, B200 180GB or B300 288GB GPUs, each billed per second. This structure suits workloads that need metered access or dedicated capacity, but buyers seeking a fixed subscription should look elsewhere.
FriendliAI connects with the OpenAI SDK, LangChain, LlamaIndex, LiteLLM, Vercel AI SDK and Weaviate. Dedicated deployments add embeddings, image generation and image editing, while online quantization and speculative decoding support inference optimization. Enterprise options include private, VPC and on-premises deployments, reserved capacity and custom support; the platform lists SOC 2 and SSO/SAML capabilities. Teams wanting one API across hosted models, custom checkpoints and specialized GPUs should consider FriendliAI. Those needing only a simple, fixed-price API or open-source software may prefer an alternative.
FriendliAI pros and cons
- Where it wins
- OpenAI-compatible chat, responses and messages APIs
- Dedicated GPU endpoints support custom and Hugging Face models
- Multimodal inference, tool calling and structured outputs
- Where it doesn't
- Usage-based billing varies by tokens, audio minutes and GPU time
- Dedicated Endpoints are billed per second
- Embeddings and image endpoints require Dedicated Endpoints
FriendliAI fact sheet, pricing and score →
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