One key, 200+ models, one bill. Route every agent task to the right model without rewriting your code — 10–30% below official pricing.
Give my agent a GPTProto setup it can route with.
1. One base_url for everything: https://gptproto.com/v1
2. Route by task, not by vendor:
plan → claude-opus-5
execute → gpt-5.6
extract → glm-5.2
3. Stay OpenAI-compatible — same SDK, same tools, same streaming.Automation built on agent frameworks — coding, office ops, content distribution and scheduled jobs running unattended.
Tool callingOpenAI-compatibleHigh throughputReliable routing| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
 Grok 4.1 Fast ReasoningGrok | $0.12 / $0.30$0.03 cache read · per 1M tokens | −40% | −43% | — | → | Try | |
 DeepSeek v3DeepSeek | $0.16 / $0.65per 1M tokens | −40% | −43% | — | → | Try | |
 GPT 5.6 LunaOpenAI | $0.16 / $0.96$0.02 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | |
| DeepSeek v4 FlashDeepSeek | $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | 1.05M | → | Try | |
| Grok 4Grok | $1.80 / $9.00per 1M tokens | −40% | −43% | — | → | Try | |
 GLM 5.2Z-AI | $1.26 / $3.96$0.23 cache read · per 1M tokens | −10% | −15% | 1.05M | → | Try | |
 Claude Sonnet 4.6Claude | $2.70 / $13.50$0.27 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | |
| GPT 5.4 MiniOpenAI | $0.60 / $3.60$0.06 cache read · per 1M tokens | −20% | −24% | 400K | → | Try | |
| GPT Image 2OpenAI | $6.40per image | −20% | −24% | — | → | Try | |
| GPT 4.1 MiniOpenAI | $0.28 / $1.12$0.07 cache read · per 1M tokens | −30% | −34% | 1.05M | → | Try | |
| Claude Opus 5Claude | $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | |
 Gemini 3.5 Flash LiteGoogle | $0.18 / $1.50$0.02 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | |
| GPT 4o MiniOpenAI | $0.10 / $0.42$0.05 cache read · per 1M tokens | −30% | −34% | 128K | → | Try | |
 Minimax M3MiniMax | $0.48 / $0.96$0.10 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | |
| Claude Sonnet 5Claude | $1.80 / $9.00$0.18 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | |
| Grok 4.3Grok | $0.75 / $1.50$0.12 cache read · per 1M tokens | −40% | −43% | 1M | → | Try | |
| Grok 4.7Grok | $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | |
| DeepSeek FlashDeepSeek | $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | — | → | Try | |
 Hy4 PreviewHunyuan | $0.79 / $2.38$0.04 cache read · per 1M tokens | −5% | −10% | 1.05M | → | Try | |
| GPT 6 AstraNewOpenAI | $8.00 / $40.00$0.80 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try |
Choose a workflow and usage level to see an example monthly cost on GPTProto, alongside the same usage at comparable provider rates.
Video and agent workloads burn credits faster — the recommendation adjusts automatically as you switch scenario or usage level.
Cheap is worthless if it’s down. Here is what your pipeline actually gets — by mechanism, not by promise.
Planning, execution and extraction have different price-to-quality tradeoffs. Point each one at a different model behind the same key — one endpoint, one bill, no per-vendor glue code.
Major models are served through redundant upstream channels, so a single provider outage never takes your app with it.
Browse modelsContinuous monitoring with automatic traffic shifting — issues are routed around before your users ever notice a thing.
Choose a model and enter your monthly usage to compare estimated costs on GPTProto, the official provider, and OpenRouter.
Real posts from real, public accounts — nothing here is invented.
For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.
I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"
I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.
Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.
I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.
I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.
GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
You only pay for what you use. Top up once, spend it on any of 200+ models — top-ups of $20+ earn bonus credits.
Get started. Great for testing the endpoint and trying new models.
The sweet spot for individual developers and small projects shipping to production.
Built for teams running production workloads. Bonus credits stack on already-discounted model pricing.
Short answers. No sales talk.
Yes. One key reaches 200+ models — text, image and video — from Anthropic, OpenAI, Google, DeepSeek, Moonshot, Z.ai and more. You pick the model by name in the request; nothing else in your code changes.
Requests route through redundant upstream channels with automatic failover. If a channel drops, traffic shifts to a backup, so one provider going down does not stop your queue. You can also pin your own model fallback in the request config.
None of it. The endpoint is OpenAI-compatible — change the base_url and the API key, and your existing SDK, streaming, tool calls and function schemas keep working as-is. Most teams are running in under 10 minutes.
Every top-up of $20 or more adds bonus credits, and bonus credits spend at the same discounted model prices. So the 10–30% discount applies across your whole balance — including the credits you did not pay for.
You pay per token, per image or per clip — no subscription and no minimum, so spend tracks usage instead of seats. Invoices are available for every top-up: contact us from your registered email. One account, one invoice across all 200+ models.
Compare models, learn API setup, and explore image and video workflows for real projects.
Create images and videos online, or bring text, image, and video models into your app with one API key. Explore discounted rates on selected models.