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SillyTavern Setup Guide (2026): Cheapest AI Roleplay, GPU Needed, Best Local Models
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ToxicYou woke up as the villain side-character of someone else's love story — but the hero is a psychopath.
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The short version
| Path | Upfront | Monthly (typical) | Setup time | Best for |
|---|---|---|---|---|
| SillyTavern + free API tier | $0 | $0 | 1 to 2 hours | Trying things out, light use, accepting rate limits |
| SillyTavern + local GPU | $250 to $1,300 for the card | $3 to $8 in electricity | An afternoon, then ongoing tuning | Privacy, no limits, tinkerers who already own a gaming PC |
| SillyTavern + paid API | $0 | $2 to $40 depending on model | 1 to 2 hours | Maximum quality, frontier models, no hardware |
| ISEKAI ZERO | $0 | $0 with the free option, or $1 per 1,000+ messages | 2 minutes, on your phone | Just playing, on mobile, with stories and visuals already built |
Everything below explains where those numbers come from. Prices are as of September 2026 and move often, so check the linked source before you buy anything.
What SillyTavern actually is
SillyTavern is a free, open-source chat frontend for roleplay. That word "frontend" is the thing most newcomers miss: SillyTavern does not contain an AI. It is the interface, the character cards, the lorebooks, the memory management and the prompt formatting. The actual language model runs somewhere else, either on your own GPU through a local backend, or at a cloud API you connect with a key.
So a SillyTavern setup is always two decisions: the frontend (SillyTavern itself, which is always free) and the "brain" (which is where all the cost and all the quality lives). The current stable release is 1.18.0 (May 2026). It needs Node.js (latest LTS) and runs on Windows, macOS, Linux, Android via Termux, and Docker. There is no iOS app; on iPhone you run it on a PC or a cheap server and open it in Safari.
Step 1: install SillyTavern
Use the release branch. The staging branch is for testers and breaks.
Windows. Install Node.js LTS and Git for Windows. Make a folder outside Program Files (for example C:\ST), open a command prompt in it and run:
git clone https://github.com/SillyTavern/SillyTavern -b release
cd SillyTavern
Start.bat
Do not run it as administrator. If you prefer a guided installer, the SillyTavern Launcher installs Node, SillyTavern and popular backends for you.
macOS and Linux. Install git and Node.js from your package manager (on macOS, install Homebrew first, then brew install git node), then:
git clone https://github.com/SillyTavern/SillyTavern -b release
cd SillyTavern
bash start.sh
Android. Install Termux from F-Droid or GitHub, not the Play Store version, which is unmaintained. Then:
pkg update && pkg upgrade
pkg install git nodejs-lts nano
git clone https://github.com/SillyTavern/SillyTavern -b release
cd SillyTavern
bash start.sh
Your phone is only running the interface here. The model still lives on a PC or an API. Running a 12B model on a phone is possible with KoboldCpp in Termux but slow enough that nobody does it for fun.
Docker. The official Docker guide is the cleanest way to run SillyTavern on a home server or a $5 VPS so you can use it from every device.
When it starts, open http://localhost:8000. First thing to do is set a username and password in the User Settings, especially if you expose it to your network.
Step 2: pick a brain
Option A: free API tiers ($0, with strings attached)
OpenRouter free models. OpenRouter lists models whose ID ends in :free. As of today there are 18 of them, and the list changes without notice. Notable ones for roleplay right now are Google's Gemma 4 31B and Gemma 4 26B-A4B, and NVIDIA's Nemotron 3 Super 120B and Nemotron 3 Ultra 550B. The rate limits are 20 requests per minute, and 50 requests per day if you have never bought credits, or 1,000 requests per day once you have bought at least $10 of credits one time. Fifty messages a day is a real session; a thousand is more than most people send. Two catches: free endpoints usually allow the provider to train on your chats, and models get retired or moved to paid regularly.
Google AI Studio. The Gemini API free tier still gives Flash models away with a daily request cap (in the hundreds to low thousands per day depending on the model). Pro models became paid-only in April 2026. Gemini Flash is a competent roleplayer and the free tier is the most generous frontier-lab freebie left, but it has a safety filter you cannot fully turn off.
AI Horde. A volunteer network of people donating their GPUs. Truly free, no key needed, but you queue for a slot and the model you get is whatever is online. Good for a first taste, frustrating as a daily driver.
In SillyTavern: API menu, choose Chat Completion, pick OpenRouter or Google AI Studio, paste your key, choose the model. That is the whole setup.
Option B: paid APIs through SillyTavern (best quality per dollar)
You bring your own key, SillyTavern sends the prompt, you pay per token. Per-message cost depends mostly on how much chat history you send each turn (the context), not on the reply. A normal roleplay turn sends about 6,000 tokens of history and gets 300 back. On that basis, at September 2026 list prices:
| Model | Price per 1M tokens (in / out) | Cost per RP message | Messages per $1 |
|---|---|---|---|
| DeepSeek V4 Flash via OpenRouter | $0.09 / $0.18 | ~$0.0006 | ~1,700 |
| DeepSeek V4 Flash direct, off-peak (pricing) | $0.22 / $0.66 | ~$0.0015 | ~670 |
| Llama 4 Scout via OpenRouter | $0.10 / $0.30 | ~$0.0007 | ~1,400 |
| Mistral Large 2512 | $0.50 / $1.50 | ~$0.0035 | ~290 |
| Gemini 3.8 Flash | $0.75 / $3.75 | ~$0.0056 | ~180 |
| DeepSeek V4 Pro | $0.96 / $1.91 | ~$0.0063 | ~160 |
| Claude Sonnet 5 | $2.00 / $10.00 | ~$0.015 | ~67 |
| Claude Opus 5 | $5.00 / $25.00 | ~$0.0375 | ~27 |
Two things move these numbers a lot. First, context growth: if you let the chat run to 30,000 tokens without summarising, every message costs five times more. SillyTavern's summarise extension and a sensible context limit are where the real savings are. Second, prompt caching: DeepSeek and Anthropic charge a fraction for cached history, which can cut a long chat's cost by half or more if your requests are shaped to hit the cache.
The community consensus on the BenchLM roleplay ranking and the SillyTavern subreddit is consistent: the frontier Claude and GPT models write the best prose, Gemini Flash is the best value frontier model, and DeepSeek V4 Flash is the best cheap model by a wide margin, which is also why it is the default model on ISEKAI ZERO.
Option C: run it locally (privacy, no limits, one-time cost)
This is the "massive savings" path if you already own a gaming PC, and a real expense if you do not.
The rule of thumb. A model in Q4_K_M quantisation needs roughly 0.6 GB of VRAM per billion parameters, plus 1 to 3 GB for the context cache at 8k to 16k tokens, plus about 1 GB for the OS. So a 12B model wants a 12 GB card, a 24B wants 16 to 24 GB, a 27B to 31B wants 24 GB, and 70B wants 48 GB. You can spill layers into system RAM with KoboldCpp, and it works, but every layer on the CPU slows generation noticeably.
What to download, by VRAM. These are the fine-tunes the roleplay community actually runs in September 2026, with real file sizes from Hugging Face:
| VRAM | Model (GGUF, Q4_K_M) | File size | Base model | Notes |
|---|---|---|---|---|
| 8 GB | L3-8B-Stheno-v3.2 | 4.9 GB | Llama 3 8B | The classic. KoboldCpp's own readme still recommends it for creative writing |
| 8 GB | Anubis-Mini-8B | 4.9 GB | Llama 3.3 8B | Newer, same tier |
| 12 GB | Rocinante-X-12B | 7.5 GB | Mistral Nemo 12B | The 12 GB sweet spot for two years running |
| 12 to 16 GB | Rocinante-XL-16B | 9.7 GB | Mistral Nemo (upscaled) | August 2026, more depth than the 12B |
| 16 GB | Cydonia-24B v4.3 | 14.3 GB | Mistral Small 3.2 24B | Fits 16 GB only with a short context or IQ4_XS. The most downloaded Drummer model |
| 24 GB | Qwen3.8-27B Heretic (abliterated) | 16.5 GB | Qwen 3.8 27B | 1.6 million downloads. The current default answer for a 3090 or 4090 |
| 24 GB | Artemis-31B v1.1 | 18.7 GB | Gemma 4 31B | Best prose in the tier, tighter fit |
| 24 GB | Melody1437-26B-A4B | 16.8 GB | Gemma 4 26B MoE | Only 4B active parameters, so it is fast |
| 48 GB+ | Anubis-70B, Valkyrie-49B, Behemoth-128B | 30 to 75 GB | Llama 3.3 70B / Nemotron Super 49B / Mistral Medium 3.5 128B | Two 3090s, a 48 GB Mac, or rent |
Newer models appear monthly. The weekly "Best Models" megathread on r/SillyTavernAI is the live source of truth, and TheDrummer's page is where most of the popular fine-tunes come from.
The GPU you need, and what it costs today.
| Card | VRAM | Street price, September 2026 | What it runs well |
|---|---|---|---|
| RTX 3060 12 GB (used) | 12 GB | about $250 | 12B models at Q4, 16B at a squeeze |
| RTX 5060 Ti 16 GB | 16 GB | $429 MSRP, about $460 used, up to $589 new right now | 16B comfortably, 24B at Q4 with short context |
| RTX 3090 (used) | 24 GB | $1,050 to $1,350, inflated by AI demand | 27B to 31B at Q4. The community's value pick, when you can find one |
| RTX 4090 | 24 GB | similar to a 3090 used, faster | Same models, faster |
| RTX 5090 | 32 GB | $4,800 and up, 145% over MSRP | Not worth it for text roleplay |
| Mac mini M4 Pro 24 GB | 24 GB unified | $1,399 | 14B to 27B at Q4, quieter and lower power than any of the above |
| Mac with 48 GB unified memory | 48 GB | from about $2,000 | The cheapest single machine that fits a 70B at Q4 (about 43 GB) |
| Mac Studio 128 GB | 128 GB | $4,000 to $4,500 | 70B at high quality, 128B models |
AMD cards work through Vulkan or ROCm in KoboldCpp, but expect more fiddling and fewer guides. If you have no GPU at all, a modern CPU with 32 GB of RAM will run an 8B model at readable speed and a 12B slowly; it is free to try before you buy a card.
Electricity. A 24 GB card draws about 300 to 350 W while generating. Three hours a day, thirty days, at the US average of 18.3 cents per kWh works out to about $5 to $6 a month. A Mac mini does the same job on a fraction of that.
Renting instead of buying. If you only play a few hours a week, a cloud GPU is cheaper than a card. RunPod community cloud rents an RTX 3090 for about $0.22 an hour, an RTX 4090 for about $0.34, and a 48 GB A40 for about $0.35 (secure cloud is roughly double). Two hours a day is $13 to $20 a month, plus about $0.07 per GB per month for the storage volume that holds your models. The tradeoff is spinning up a pod and waiting for the model to load every session.
The backend. SillyTavern talks to whatever program is actually running the model:
- KoboldCpp (v1.120, August 2026) is the roleplay community's default. One executable, no install, loads GGUF files, offloads as many layers as fit onto the GPU with the rest on CPU, supports CUDA, Vulkan, ROCm and Apple Silicon. In SillyTavern choose Text Completion, KoboldCpp, address
http://localhost:5001. - Ollama (v0.34) is the easiest to install and has a model library, but it hides sampler settings and defaults to a small context window, so set
num_ctxyourself. Addresshttp://localhost:11434. - LM Studio is the friendliest GUI for browsing and downloading models, with an OpenAI-compatible server SillyTavern can use.
- TabbyAPI with EXL2/EXL3 models is the fastest when the whole model fits in VRAM, and the most technical.
Step 3: the settings that matter
- Character cards. SillyTavern reads the standard V2/V3 PNG card format. Chub is the largest library; many Janitor AI and Character AI cards have been ported there. Import from the Characters panel.
- Instruct and context templates. Every model has a chat format it was trained on. Pick the matching template (Llama 3, Mistral, Gemma, ChatML for Qwen) in the Advanced Formatting panel or the model will ramble and break character. This one setting fixes half of all "my local model is dumb" complaints.
- Samplers. A safe starting point for the fine-tunes above: temperature 0.85, top_p 0.92, min_p 0.05, repetition penalty 1.05 to 1.1. Neutralise everything else, change one thing at a time.
- Context size. Set it to what your VRAM allows (8k to 16k locally) and turn on the Summarize extension so long chats do not fall off a cliff. On paid APIs this is also your cost control.
- Lorebooks (World Info). Keyword-triggered notes injected only when relevant. This is how you give a small model a big world without paying for it on every message.
- Extensions. Image generation (Stable Diffusion or an API), text-to-speech, vector storage for long-term memory, and group chats are built in or one click away. Each one is another thing to configure.
What it really costs per month
Assuming about 100 messages a day, which is a heavy roleplayer:
| Setup | Upfront | Monthly | Hidden costs |
|---|---|---|---|
| SillyTavern + OpenRouter free models | $0 | $0 (after a one-time $10 credit purchase to unlock 1,000 requests a day) | Your chats may train models; models disappear; quality is mid-tier |
| SillyTavern + RTX 3060 12 GB, Rocinante-X-12B | $250 | about $4 electricity | Evenings lost to settings; 12B is noticeably below the frontier |
| SillyTavern + used RTX 3090, Qwen3.8-27B or Artemis-31B | $1,050 to $1,350 | about $6 electricity | Card takes 24 to 34 months to pay back versus the cheapest API |
| SillyTavern + rented RTX 3090, 2 h/day | $0 | $13 to $20 | Pod startup every session, storage fees |
| SillyTavern + DeepSeek V4 Flash API | $0 | about $2 | Context discipline required |
| SillyTavern + Claude Sonnet 5 | $0 | about $45 | Same, and long chats get expensive fast |
| ISEKAI ZERO, free option | $0 | $0 | Daily Mana allowance, watch ads to earn more |
| ISEKAI ZERO, paid | $0 | about $3 at 100 messages a day | 30% markup, published; models limited to our list |
The honest reading: if you already own a 12 GB or 24 GB card, local is the cheapest roleplay there is, and the most private. If you do not, a $1,000 used 3090 takes two to three years to pay back against a DeepSeek key, so buy the card because you want a local, uncensored, unlimited setup, not to save money. If you want the best writing, a frontier API through SillyTavern is the way, and the bill scales with how disciplined you are about context.
Where ISEKAI ZERO fits
We are a service company, not an AI lab. We run the same class of models you can rent yourself, and we publish exactly where every credit goes on our transparent pricing page: 100 Arcane is $1, the AI provider gets about 77% of it, and our 30% markup is split between storyline creators (25% of it), referrers, and running the service. One dollar buys 1,000 or more full-memory messages on the default model, and up to about double that with chat summarisation on. There is a free option with a daily Mana allowance and ad top-ups if you never want to pay.
What you get for the markup is everything on this page done for you: no install, no templates, no samplers, memory and summarisation handled, a visual novel mode with generated scenes, voices, and thousands of storylines written by creators who earn from them, in 17 languages, on your phone. What you give up is model choice beyond our list and the local-only privacy of a GPU under your desk.
So: if you enjoyed reading this guide, you will probably enjoy building the local setup, and we mean that. If you got to this paragraph thinking "I just want to play", start free and skip the afternoon.
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