DeepInfra
Low-cost GPU inference provider for open-source LLMs and embedding models. DeepInfra hosts hundreds of models (Llama, Mistral, Qwen, embedding models) with an OpenAI-compatible API — drop-in replacement for OpenAI API with open-source models at 10-50x lower cost. Supports text generation, embeddings, image generation, and speech-to-text. No minimum commitment or infrastructure management.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS enforced. API key with no scope granularity. Startup company — SOC2 status not confirmed. No PII stored beyond request logs. Prompts and outputs are processed on DeepInfra infrastructure — consider data sensitivity.
⚡ Reliability
Best When
Cost-sensitive agent applications using open-source LLMs where you want OpenAI-compatible API without building GPU infrastructure or paying frontier model prices.
Avoid When
You need frontier model capabilities (GPT-4, Claude Opus), strict uptime SLAs, or fine-tuned private models — use the source providers directly.
Use Cases
- • Run open-source LLMs (Llama 3.1, Mistral, Qwen) at a fraction of OpenAI pricing using DeepInfra's OpenAI-compatible API
- • Get text embeddings using open-source embedding models (BGE, E5, nomic-embed) without building GPU infrastructure
- • Switch between models for cost/quality optimization — DeepInfra supports dozens of models on the same API endpoint
- • Run speech-to-text (Whisper variants) and image generation (SDXL, Flux) on the same DeepInfra account
- • Use as a cheap inference backend for agent experimentation and development before committing to more expensive managed providers
Not For
- • Production applications requiring guaranteed uptime SLA — DeepInfra is cost-optimized, not enterprise-grade SLA
- • Teams needing proprietary frontier models (GPT-4, Claude) — DeepInfra only hosts open-source models
- • Applications requiring model fine-tuning on private data — DeepInfra serves pre-built models; use dedicated fine-tuning platforms
Interface
Authentication
API key passed as Bearer token — identical to OpenAI auth pattern. Single key grants access to all hosted models. Generated in DeepInfra dashboard. No scope granularity.
Pricing
Extremely cost-effective — open-source models at 10-50x lower cost than OpenAI equivalents. Embedding models are especially cheap. Credit card required to add credits beyond free tier.
Agent Metadata
Known Gotchas
- ⚠ Model availability changes — DeepInfra adds and removes models; agents should verify model availability before production deployment
- ⚠ OpenAI-compatible but not identical — some OpenAI-specific features (assistants, fine-tuning, files API) are not available
- ⚠ Free tier has very low rate limits — production workloads require adding credits and may hit rate limits on basic plans
- ⚠ Context window varies by model — Llama 3.1 8B supports 128K context but some older models have much shorter limits; verify per model
- ⚠ No streaming by default — must explicitly set stream=True for streaming responses
- ⚠ SOC2 and compliance status not publicly documented — evaluate data sensitivity before using for regulated workloads
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for DeepInfra.
Scores are editorial opinions as of 2026-03-06.