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.
モデルの切り替えやフォールバック処理から、画像や動画の作成まで、人々はさまざまな作業に GPTProto を活用しています。ここでは、共有を選んだ声を紹介します。
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.
始めましょう。エンドポイントのテストや新しいモデルを試すのに最適です。いつでも$20以上をチャージすると、ボーナスクレジットをアンロックできます。
個人の開発や、本番に出す小さなプロジェクトに向いたバランスです。
$500で残高$600を獲得 — ボーナスクレジットは、すでに割引されたモデル料金にさらに積み重なります。本番ワークロードを運用するチーム向けに構築されています。
デモの背景にある疑問への回答：制御、モデル、メモリ、コスト。
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.
モデルの比較、API の設定、画像と動画の実務での使い方をまとめています。
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.
