DeepInfra alternatives
DeepInfra alternatives in Proprietary APIs. An inference API for speech, text, image, and video models, with rates shown per million tokens or per
Summary
DeepInfra alternatives in Proprietary APIs. An inference API for speech, text, image, and video models, with rates shown per million tokens or per instance-hour. No free allowance is listed on the homepage. 12 other catalog listings are linked below.
Alternatives
- GPTProto — An OpenAI-style API for text, image, and video models, billed per token with no monthly minimum. The homepage lists rates under the
- LanoX — One account and one API key for text, image, and video models, including GPT, Claude, and Gemini. It also connects to Codex, Claude Code, or
- ApexApi — One API key and one prepaid dollar balance for 130+ text, image, video, and voice models, in an OpenAI-compatible format. There is no
- APIKO — One OpenAI-compatible API for text, image, and video models from several providers. Signup includes $1 of credit.
- APIMODELS — One key reaches image, video, language, and audio models, and it fails over when a provider drops. You pay only for calls that succeed.
- Mammouth — One subscription for Claude, GPT, Gemini, Grok, Mistral, DeepSeek, Kimi, and others, plus image and video models. Starter is $12 a month and
- MANA AI — One workspace for text, image, and video models, billed in credits that do not expire. The site says there is no monthly subscription.
- TokLab — One API key for image, video, language, and audio models, with OpenAI-compatible calls. Each model lists its price before you send, and a
- Scenetra — Sends each image or video job to the cheapest of 16 providers and does not add a markup on usage. 1,000 credits equal $1. Plans are $20
- Electron Hub — One API key for 600+ models, including GPT, Claude, Gemini, and Grok, with an agents mode on paid plans. Free is $0 and includes $0.25 of
- GMI Cloud — GPU cloud for serverless inference, dedicated clusters, and bare-metal AI jobs.
- Inference — Hosted inference platform for deploying, watching, and tuning production model workloads.