Compare AI tools

	Google Veo A	DeepInfra A	GitHub Copilot B	Replicate S
Tagline	Google's video model. Baked into Gemini + YouTube Shorts.	Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	Run any open-source AI model with an API call.
Category	Video	Dev Platform	Coding	Dev Platform
Pricing	Included with Gemini Advanced $20/mo + YouTube creator tools	Free $5 credit on signup, then pay-as-you-go from $0.06/M tokens	Free (limited) + $10/mo Pro + $19/mo Business	Pay per second of compute
Best for	Gemini Advanced users, YouTube Shorts creators.	Backend developers and ML engineers who want the cheapest reliable inference for open-weight LLMs in production, especially those already living inside the Hugging Face ecosystem.	Teams with GitHub already. Devs who don't want to change IDEs.	Developers using open-source models (Flux, SDXL, Whisper, etc).
Strengths	Included with Gemini Advanced YouTube Shorts native integration Strong prompt understanding	Among the cheapest per-token rates for open-source models — consistently undercuts Together AI and Fireworks on small models OpenAI-compatible API means zero migration headache from existing stacks Now a first-class Hugging Face Inference Provider, so HF-native workflows (SDKs, Playground, agent harnesses) get DeepInfra with a one-line swap Runs on H100/A100 and NVIDIA Blackwell GPUs with auto-scaling and 99.982% uptime SLA on dedicated tier Supports LoRA adapter deployments and private custom model hosting, not just public models	Great enterprise story Works in your existing IDE Chat + autocomplete	Tens of thousands of models (image, video, audio, LLMs) One-line API for any model Cog framework for custom model deploy
Weaknesses	Still catching up on quality vs Kling/Runway Less control than pros need	Primarily developer/API-first — no meaningful consumer-facing product or chat UI to speak of Model breadth (77 tracked) lags behind aggregators like OpenRouter or Replicate for niche or newly-released models No free tier beyond the $5 signup credit; requires a card or prepayment to continue	Less agentic than Cursor/Claude Code Model quality varies	Cold starts on less-popular models Pricing gets real at scale
Kai's verdict	A-tier if you already pay Gemini. B-tier standalone.	DeepInfra is the quiet workhorse of the inference API space — serious price performance on H100s, a genuinely clean OpenAI-compatible API, and now a native HF provider makes it a strong default choice for any team running open-source models at scale. (Verdict pending Phi's full review.)	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	S-tier for open-source model APIs. The default in this space.
Link	Open →	Open →	Open →	Open →