One OpenAI-compatible endpoint for 200+ models. Character cards, lorebooks and thousand-turn histories go through verbatim — at 10–30% below official pricing. Pay per token, no minimum.
curl https://gptproto.com/v1/chat/completions \
-H "Authorization: Bearer $GPTPROTO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-5",
"messages": [
{ "role": "system", "content": "<roleplay rules + 2,818-token card>" },
{ "role": "user", "content": "You can't just take whatever you want." }
],
"max_tokens": 400,
"stream": true
}'
Character-driven chat at scale — fixed personas, long world-building threads and consistent memory across sessions.
Long contextPersona memoryStable streamingLow cost| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
 GPT 6 AstraNewOpenAI | $8.00 / $40.00$0.80 cache read · per 1M tokens | −20% | −24% | 1.05M | → | Try | |
 Gemini 3.1 Pro PreviewGoogle | $1.20 / $7.20$0.12 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | |
 DeepSeek v4 FlashDeepSeek | $0.30 / $1.20$0.01 cache read · per 1M tokens | — | −5% | 1.05M | → | Try | |
 Grok 4.6Grok | $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | |
| Gemini 3.7 FlashGoogle | $0.90 / $4.50$0.09 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | |
 Claude Opus 4.6 ThinkingClaude | $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | |
| Grok 4.1 Fast Non ReasoningGrok | $0.12 / $0.30per 1M tokens | −40% | −43% | — | → | Try | |
| Gemini 2.5 ProGoogle | $0.75 / $6.00$0.07 cache read · per 1M tokens | −40% | −43% | 1.05M | → | Try | |
| Grok 4.5Grok | $1.20 / $3.60$0.30 cache read · per 1M tokens | −40% | −43% | 500K | → | Try | |
| Claude Opus 5Claude | $4.50 / $22.50$0.45 cache read · per 1M tokens | −10% | −15% | 1M | → | Try | |
| Claude Fable 5Claude | $9.00 / $45.00$0.90 cache read · per 1M tokens | −10% | −15% | 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 |
Roleplay traffic spikes after dinner and stays up all weekend — exactly when your players are most engaged. Here is how replies keep flowing through the curve.
Major models run on redundant upstream channels. If one degrades mid-evening, traffic shifts to a backup automatically — no code change, no dropped sessions.
Major models are served through redundant upstream channels, so a single provider outage never ends your players' evening with it.
Browse modelsContinuous monitoring with automatic traffic shifting — issues get routed around before they turn into a scene that ends mid-sentence.
Enter your token volume — we price it against the model you are actually running.
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. Top up $20+ anytime to unlock bonus credits.
The sweet spot for individual developers and small projects shipping to production.
You get $600 in balance for $500 — bonus credits stack on top of already-discounted model pricing. Built for teams running production workloads.
Short answers, no sales talk. Everything here is something a roleplay team has actually asked.
Two values: the base URL and the API key. Request format, auth headers and server-sent streaming stay identical, so your existing SDK and any OpenAI-compatible front end keep working. Most teams move a staging environment in under an hour.
Every model is priced below its official list price and the discount is applied automatically — there are no tiers to negotiate and nothing to opt into. Top-up bonuses stack on top, and bonus balance is spent at the discounted model prices too.
Yes, and it is the main reason teams switch. Give your flagship characters a frontier model, put background NPCs on a cheap one, all behind a single key. Changing a character's voice is a one-line edit to the model field.
We do not touch your payload. The whole card, the lorebook and the history arrive as sent, up to the model's context window — up to 1.05M tokens on the models in our lineup — and your own summarisation strategy stays yours to choose.
Requests route through redundant upstream channels with automatic failover and are monitored around the clock. If a channel degrades, traffic moves to backups without a code change on your side.
Yes, fully. Streamed replies use the same server-sent-events format as the OpenAI SDK, so token-by-token rendering works unchanged — in a custom front end or in any OpenAI-compatible client you already use.
Yes. Invoices are available for every top-up — write to us from your registered email and we will issue them. One account, one balance, one invoice across all 232 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.