SillyTavern is a free, open-source frontend for character chat. Explore model usage, compare GPTProto and OpenRouter prices, and try roleplay models before connecting your own SillyTavern setup.
Usage stats for SillyTavern — most of the numbers come from OpenRouter and GPTProto together. Switch between weekly and daily to see how the mix shifts.
Token volumes mix OpenRouter (openrouter.ai/
See which models receive the most reported SillyTavern traffic on OpenRouter. Compare API rates, shortlist the models that fit your budget, and test them with a character before choosing your next provider.
Live GPTProto prices for each model, next to what it would cost elsewhere.
| Model | Price: GPTProto | vs Official | vs OpenRouter | Tokens |
|---|---|---|---|---|
1.  DeepSeek FlashDeepSeek | $0.30 / $1.20$0.01 Cache read · per 1M tokens | — | −5% | 107B |
2.  GLM 5.3Z-AI | $1.26 / $3.96$0.23 Cache read · per 1M tokens | −10% | −15% | 49.2B |
3.  Gemini 3.8 FlashGoogle | $0.90 / $4.50$0.09 Cache read · per 1M tokens | −40% | −43% | 46.7B |
4. GLM 5.3 FlashZ-AI | $0.15 / $0.50$0.03 Cache read · per 1M tokens | — | −5% | 24.3B |
5.  Claude Opus 5.5Claude | $3.60 / $18.00$0.18 Cache read · per 1M tokens | −10% | −15% | 23.5B |
6. Claude Sonnet 5.5Claude | $1.80 / $9.00$0.18 Cache read · per 1M tokens | −10% | −15% | 17.8B |
7. Claude Fable 5.1Claude | $9.00 / $45.00$0.23 Cache read · per 1M tokens | −10% | −15% | 8.9B |
8.  Grok 4.6Grok | $1.20 / $3.60$0.30 Cache read · per 1M tokens | −40% | −43% | 6B |
9. Gemini 3.6 FlashGoogle | $0.90 / $4.50$0.09 Cache read · per 1M tokens | −40% | −43% | 4.6B |
10. Gemini 3.5 Flash LiteGoogle | $0.18 / $1.50$0.02 Cache read · per 1M tokens | −40% | −43% | 3.9B |
11. Grok 4.7Grok | $1.20 / $3.60$0.30 Cache read · per 1M tokens | −40% | −43% | 2.8B |
12.  GPT 6 LunaOpenAI | $0.080 / $0.40$0.01 Cache read · per 1M tokens | −20% | −24% | 1.5B |
13. GPT 6.1 SolOpenAI | $1.60 / $8.00$0.08 Cache read · per 1M tokens | −20% | −24% | 417M |
Choose a model and enter your monthly token usage. Set the input share to compare estimated costs on GPTProto, OpenRouter, and the direct provider for the same workload.
從切換模型、處理備援，到生成圖片和影片，人們使用 GPTProto 進行各種不同的工作。以下是他們選擇分享的內容。
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."
Add GPTProto API credit for your SillyTavern chats or your own app. Usage is charged at each model’s current rate, with no required monthly subscription.
立即開始。非常適合測試端點與試用新模型。隨時儲值 $20 以上即可解鎖贈送額度。
適合個人開發，以及準備上線的小型專案。
只要支付 $500，就能獲得 $600 餘額——贈送額度可疊加在已折扣的模型定價之上。專為執行正式生產工作負載的團隊打造。
解答示範背後的重點問題：控制權、模型、記憶與成本。
Yes. GPTProto can power the AI replies in your roleplay chat app through an OpenAI-compatible API. Your app or app builder handles the interface, character profiles, conversation storage, and user accounts. Start with one character and one model; our Roleplay API guide covers setup and model comparisons.
A no-code builder can work if it supports authenticated API requests, secure server-side key storage, and conversation data. Connect GPTProto, configure your character instructions, and test a complete chat session. Check the builder’s streaming support if you want replies to appear as they are generated.
For models currently available in the GPTProto catalog, yes. Use the exact GPTProto model ID and check its price, context limit, and supported features. Treat the ranking as a shortlist, then test the models with the characters and scenes your own users will encounter.
Create a profile for each character with their identity, speaking style, behavioral rules, and example dialogue. Include the relevant profile and scene in the model request. Test the same situations across several models to find one that follows the character consistently.
Save character profiles and conversation history in your application. For each reply, include recent dialogue and retrieve relevant earlier events or summaries. A larger context window gives you more room in a request; persistent memory still needs to be managed by your app.
Yes. One GPTProto key can access multiple models currently available in the catalog. Select the model ID for each request to compare replies or offer different model choices in your app. Check model-specific parameters and features before switching a production conversation.
Measure average input and output tokens per reply, apply the selected model’s rates, and multiply by your expected monthly reply volume. Include extra calls for regenerations and summaries. Use the calculator to compare the same workload across providers, then refine the estimate with actual usage.
Supported models and endpoints can stream reply text as it is generated. Your interface can display those chunks progressively while the response continues. Confirm streaming support for the selected model and implement handling for interrupted connections in your chat app.
GPTProto’s routing and failover features help handle upstream disruptions. Your app should also handle timeouts, controlled retries, and per-user usage limits. Test the models and routes under your expected traffic before launch, and monitor errors and response times as usage grows.
The content included in an API request is sent through GPTProto to the selected model provider. Our Privacy Policy explains processing, short-term content retention, and metadata logging. Provider policies also apply. Confirm any enterprise retention or routing requirements before deploying private user data.
比較模型、了解 API 設定，以及圖像和影片在實際專案裡的做法。
Access multiple chat models with one GPTProto API key. Compare current prices, start with a small balance, and keep using your characters and lorebooks in SillyTavern.
