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Access leading AI models through one unified, OpenAI-compatible API.
curl https://aihubmix.com/v1/chat/completions \-H "Authorization: Bearer sk-***" \-H "Content-Type: application/json" \-d '{"model": "gpt-5.5","messages": [{"role":"user","content":"Hi"}]}' # claude-opus-4-7 / gemini-3.1-pro-preview



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Discover apps using AIHubMix. Eligible usage receives 10% off, excluding Claude models.Model Rankings
Recent Blog Posts
DeepSeek V4.1 Flash API Pricing Compared: AIHubMix 30% Off vs OpenRouter
DeepSeek V4.1 Flash is now available on AIHubMix and OpenRouter. It supports text and image inputs, a 1M-token context window, tool calling, structured outputs, and agent-oriented workflows. AIHubMix currently offers a limited-time 30% discount on selected provider routes, valid through September 27, 2026. OpenRouter lists the price at $0.13 per million input tokens and $0.52 per million output tokens, with cache reads at $0.0026 per million tokens. DeepSeek V4.1 Flash API pricing at a glance
Why did Gemini turn Chinese for no reason?
Gemini may occasionally produce Chinese in its reasoning or final response even when you expect English. This usually points to temporary multilingual language drift. It does not, by itself, mean that Gemini has switched to a separate Chinese model. The short version: inspect the full conversation for Chinese language signals, restate the desired output language, and do not use the stream setting as a language fix. What Gemini language drift means Language drift occurs when a model begins in
Jev Explained: How to Add Fast, Typed Decisions to an AI Agent
Jev is best understood as a decision layer for software. It reads text or structured state and returns predefined classifications, scores, and yes-or-no probabilities. It does not write an answer for the user. That narrower interface makes it relevant to high-volume routing, triage, verification, and guardrail steps inside AI agents. The practical pattern is simple: let Jev make frequent, reversible judgments; let business code enforce policy; escalate uncertain or consequential cases to a capa