Compare AI tools

	DeepInfra A	Cursor S	Symphony A	Hex A
Tagline	Blazing-fast, pay-as-you-go inference API for open-source LLMs and multimodal models, now plugged directly into the Hugging Face ecosystem.	VS Code fork that made AI coding actually work.	OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.	Modern data notebook with Magic AI assistant.
Category	Dev Platform	Coding	Agents	Data
Pricing	Free $5 credit on signup, then pay-as-you-go from $0.06/M tokens	Free + $20/mo Pro + $40/mo Business	Free (open-source)	Free + $28+/user/mo
Best for	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.	Developers. Non-developers who want to ship working code.	Engineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.	Data teams at startups + enterprises.
Strengths	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	Tab completion feels like mind-reading Composer for multi-file edits Runs Claude, GPT, Gemini — you pick	Fully autonomous ticket-to-PR pipeline: every open Linear issue gets its own isolated Codex agent without manual supervision Fault-tolerant Elixir/OTP architecture automatically restarts crashed agents and manages hundreds of concurrent runs WORKFLOW.md keeps all orchestration policy version-controlled inside the repo, so agent behavior is reproducible and reviewable like code Proven internal results: OpenAI reported a 500% increase in landed PRs on some teams within three weeks Open spec encourages community re-implementations in any language, not just Elixir	SQL + Python + no-code in one notebook Magic AI writes queries + viz for you Team-grade collaboration
Weaknesses	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	Can feel overwhelming for non-coders Expensive at scale	Currently only supports Linear as an issue tracker — GitHub Issues and Jira integrations are not yet official Only OpenAI Codex is officially supported as the agent runtime; other model integrations are community-contributed and incomplete Self-hosted, Elixir-dependent engineering preview with no built-in sandboxing — not suitable for untrusted or production environments out of the box	Overkill for casual users Enterprise pricing
Kai's verdict	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.)	S-tier for coding. If you write code of any kind, this pays back the $20 in a day.	Symphony is the most architecturally serious 'issue tracker as control plane' approach yet — 15K GitHub stars in weeks confirms the idea resonates — but it's still a rough, self-hosted engineering preview that demands Elixir chops and a Linear-only workflow. (Verdict pending Phi's full review.)	A-tier for data teams. S-tier if you already live in SQL + Python.
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