Choosing a model
The picker above the input lists the models available to your account. Every row carries the same two numbers.
Diagram as text
- You open the model picker above the input.
- Recommended is a short curated list.
- All Featherless models searches the complete catalogue, with sorting, a model-type filter and Load more.
- ZeroLog checks whether the model is available to your account.
- If it is, the chat uses it. The price shown already includes the service margin (2% at the shipped rate), except on your own API key.
- If it is not, ZeroLog returns model_not_available. Choose a model shown in your picker and try again.
Every row shows
- Price
- per million tokens
- Context
- length
Switch mid-conversation and the thread comes with you.
Kinds
Three kinds worth telling apart
Costs little
Low-cost models
They cost little per request. The picker shows each model's price and context length, so you can compare before you choose.
Costs more
Reasoning models
They think before answering. Worth it on hard problems, not on simple ones.
Longer context
Long-context models
They matter when you paste a big file or work a long thread.
Where the catalogue has them, a row also shows a class label (a rough family tag) and a concurrency cost: how many of the shared inference slots one request to that model uses. Heavier models use more, which is why they can hit a busy limit sooner under load.
Full catalogue
Recommended picks, or search everything
The picker has two views: Recommended, a short curated list, and All Featherless models, which searches the complete catalogue (tens of thousands of models). In the full view you can sort and filter by model type, and Load more brings further results.
ZeroLog keeps the previous model list when an incomplete Featherless catalogue would hide many models. Small retirements and returning models still update normally.
For more control, open Models in the navigation. The same toggle is there, plus filters for class and minimum context, sorting (context and price, popularity, downloads, newest, model size, price, context, name), a model-type filter, and tags such as vision, reasoning and long context so you can spot what a model is built for at a glance.
In practice
Cheap to explore, strong for the hard step
One pattern that holds up:
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01
Cheap model to explore.
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Switch
02
Strong model for the hard step.
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Switch back
03
Cheap again to tidy up.
If a model fails
When the model you picked cannot answer
If the selected model cannot handle a request, the chat shows an error. Check the message, then retry or choose another model shown in your picker.
Malformed request
You see the error; another model may reject it too.
Device tools
The CLI engines (Claude Code and Codex) cannot call the tools of a connected device such as the Android app. The thread says so when it happens.
Availability
Use models shown in your picker
ZeroLog checks model access across chats and automated features. Agents, Ultracode, automatic model choice and usage limits use models available to your account.
When you explicitly request a model that is not available to you, ZeroLog returns
model_not_available. Choose a model from your picker and try again.
Featherless models are available to existing accounts. See Model availability for the current access policy and the earlier pause.
Providers sometimes retire models, so the list and prices in your picker can change. In ZeroLog Code, a saved model choice that has been retired may be routed to a replacement. The response identifies both models and includes a notice, whether it streams or arrives all at once. Choose a current model in the picker to set a different one.
Price
What the quoted price already includes
On ZeroLog credit
Every price you see already includes the service margin (2% at the shipped rate), so what is quoted is what is charged.
On your own key
Usage on your own API key carries no margin at all, because that money never passes through here.
Plan prices and credit packs: Pricing. Model changes are announced in the Newsroom.
One model in detail: MiniMax M3 in your coding agent.