Coding assistants
Use top coding models in Claude Code, Codex and Cursor for completion, refactoring and review.
One endpoint for frontier text, music, image and video models — flexible orchestration, automatic failover, pay-as-you-go billing to ship your app faster.
Operate
Every model runs on several upstream channels: weighted routing, automatic failover, smart retries and continuous health checks — when one line fails, your users never notice.
Streaming first
Full SSE streaming support, on a gateway built for high-volume production traffic.
Ecosystem
Claude Code, Codex, Cursor, Cherry Studio — change one base URL and you are in.
Create
Native OpenAI, Anthropic and Gemini protocols — keep your code and SDKs exactly as they are.
from openai import OpenAIclient = OpenAI( base_url="https://flymux.com/v1", api_key="sk-...",)response = client.chat.completions.create( model="gpt-5", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)100+ models
Chat, coding, reasoning, image and video generation — with public, transparent prices.
Every modality
Text, image, audio, video and embeddings with a single key.
Collaborate
Give every project and teammate its own key and budget, so cost and risk stay visible.
Team keys
Separate keys — One per project or teammate, fully isolated.
Quotas & budgets — Set a cap; spending stops when it is reached.
Model allowlists — Restrict which models each key can call.
IP restrictions — Only trusted sources get through.
Workflow
Model, tokens, latency and cost are recorded for every request.
Track spend over time and by model.
Top up online or with redemption codes; balance is usable right away.
Passkeys and two-factor authentication.
Insight
Every call leaves a trail: logs, dashboards, per-token pricing and budget guardrails keep cost under your control.
Request logs
Usage analytics
Cost breakdown
Budget guardrails
Community
Real feedback from individual developers and teams.
I pointed Claude Code's base URL at FlyMux and haven't touched it since. Rate-limit pain is basically gone, and the bill is clearer than before.
We A/B four or five model vendors at once. It used to mean a key and an invoice per vendor — now it is one console and one monthly close.
The failover sold me. An upstream went down, users felt nothing, and I only found out the next day reading the logs.
Every project gets its own key with a budget, and that's it. No intern can burn the team's whole balance overnight anymore.
OpenAI SDK and Anthropic SDK both speak their native protocols — no weird compatibility layer. Migration cost was basically zero.
Per-token billing is genuinely itemized: input, output and cache counted separately. Cache pricing alone cut our monthly spend by nearly 30%.
Long-running agents fear a flaky model layer most. With FlyMux the retries and switching happen at the gateway — I removed every fallback hack from my code.
New models usually show up on the models page the day they launch. Prices are right there — trying one is just changing the model name.
Use cases
Use top coding models in Claude Code, Codex and Cursor for completion, refactoring and review.
A dependable model layer for multi-step reasoning, tool calls and automation.
Combine embeddings with long-context models for enterprise search and answers.
Copy, images and video for marketing, design and creative work.
Answer customers around the clock and switch to cheaper models where it makes sense.
Let models read reports and logs, then summarize the insights.
FAQ
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