SillyTavern model selection

What is the best model for SillyTavern?

There is no universal winner for every character card. Start with a current usage signal, then compare the same card and scene on the routes you can actually use.

See the current shortlist

Popularity shows what people use on one provider network. It is not a controlled roleplay quality benchmark or a guarantee of SillyTavern compatibility.

Tabbit Browser displays one prompt with responses from several AI models side by side.

Dated adoption snapshot

A shortlist from OpenRouter’s roleplay collection

Observed 23 September 2026

The collection says its order uses prompt and completion tokens processed through OpenRouter over the previous seven days. It measures usage across that network, not SillyTavern-only traffic or writing quality.

RankModelShare of collection usage
01GLM 5.3 Flash16.7%Highest share in this snapshot; adoption signal only.
02DeepSeek V4.1 Flash8.0%Second by usage in the collection at the time checked.
03Tencent Hy4 preview6.5%Third; preview status may affect availability.
04GPT-5.6 Luna6.2%Fourth; provider route and access can vary.
05DeepSeek V4 Flash 07316.0%Fifth; verify the exact model ID in your backend.
Open the OpenRouter roleplay collectionTrailing 7-day OpenRouter usage · roleplay collection

This dated snapshot can change. A separate modelgrep page uses a different OpenRouter roleplay-share filter and produces a different order; neither ranking is a SillyTavern-only test.

Choose for your card

Run a small comparison before a long session

Use the same character card, opening, context limit, generation settings and output length for each model. Record a few observable signals; do not treat one attractive paragraph as proof.

Original illustrated roleplay scenes used to explain a repeatable model comparison

Mystery scene

Keep the voice

Does the reply follow the persona’s speaking style without repeating its description back to you?

Original illustrated roleplay scenes used to explain a repeatable model comparison

Repair scene

Move the scene

Does something change or become actionable, or does the answer circle around the same details?

Original illustrated roleplay scenes used to explain a repeatable model comparison

Conversation scene

Track what happened

On the next turn, does the model remember the choice and consequences established in the scene?

These are evaluation prompts, not measured benchmark results. Repeat across several turns and note latency, cost and provider-side limits separately.

Optional comparison workflow

Keep your model test consistent

A browser with multi-model responses can help you inspect tone side by side. Tabbit can compare available models in one view; the providers, model IDs and account access still determine what is available. Tabbit is separate from SillyTavern.

Tabbit Browser displays one prompt with responses from several AI models side by side.
Tabbit Browser model selection menu open.

These images show Tabbit Browser, not SillyTavern or measured results from this article.

FAQ

Choosing a SillyTavern model

Which model is best for SillyTavern?+

No single model is best for every card or backend. Use the dated usage list as a shortlist, then compare the same scene on the provider routes you can access.

Does SillyTavern provide the AI model?+

No. SillyTavern is a frontend that connects to an inference backend. Model access, limits, price, data handling and moderation depend on the selected provider or local server.

Does a popular model write better roleplay?+

Not necessarily. The cited usage rankings measure activity on their provider network. They do not isolate SillyTavern users or test character consistency under controlled settings.

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