DeepSeek
The price/performance outlier — deepseek-chat at $0.27/$1.10 per Mtok, the natural triage model for every lineup and a very capable budget worker.
DeepSeek is the catalog's price/performance outlier: deepseek-chat costs $0.27/Mtok
in, $1.10/Mtok out, $0.07/Mtok cached — roughly a tenth of flagship rates — while
remaining a genuinely capable coding model. Stella speaks the OpenAI-compatible
dialect against https://api.deepseek.com/v1.
Setup
export DEEPSEEK_API_KEY="sk-..."DeepSeek sits fifth in auto-detection. Prefer a
file? Store the key in
~/.config/stella/credentials.toml, or rename the
env var Stella reads with providers.deepseek.api_key_env — see
overriding the key source.
Selecting models
The provider id is deepseek; the default model is deepseek-chat (the V3 line, revised
through 2025).
stella --model deepseek/deepseek-chat run "fix the flaky date test"
export STELLA_MODEL=deepseek/deepseek-chatThe triage model
Stella's pipeline triage agent emits one token under a 10-second ceiling — it
classifies the task and nothing more. Paying flagship prices for that token buys nothing,
which is why every named lineup in the Model guide — from
max quality down to
dirt cheap — puts deepseek-chat in the triage seat:
{
"agent_engine_config": {
"pipeline_triage_model": "deepseek/deepseek-chat"
}
}In the pipeline
Beyond triage, deepseek-chat is the worker of the
dirt-cheap profile — a very capable budget worker for
routine, well-scoped tasks where a flagship would be overkill. Its 128k window is the one
constraint to respect: point it at focused changes, not whole-repo sweeps. Wire the roles
with agent_engine_config.
Catalog pricing
| Model | Context | In $/Mtok | Out $/Mtok | Cached-in $/Mtok |
|---|---|---|---|---|
deepseek-chat | 128k | 0.27 | 1.10 | 0.07 |
List prices from Stella's seed catalog — verify with DeepSeek; your local catalog
re-syncs from models.dev via stella models refresh. See the
Model guide for the full cross-provider table.
xAI
Grok over an OpenAI-compatible API — a distinct model family with strong reasoning, useful as an alternate judge, with grok-4 as the default model.
Z.ai
GLM models over an OpenAI-compatible API — Stella's default worker tier, first in auto-detection, with a dedicated coding-plan endpoint for subscription pricing.