Cheap enough to use freely
Built for an agent’s chores. Set it as small_model in opencode and titles and compaction become nearly free. It struggles alone on complex work — it is not meant to be the main driver.
1M
Context window
500
turns / 1,000 crystals (estimate)
1×
Cost vs the cheapest model
Good for
- Subagents and context gathering
- Titles, summaries, commit messages
- High-volume, low-complexity edits
Not for
- Multi-file refactors
- Long runs of dozens of steps
Rates
Published price per million tokens — what your crystals are charged at. It is the upstream official list price; check it yourself.
Cache read$0.0028$0.0028
Input$0.1400$0.1400
Output$0.2800$0.2800
Turns per the same amount of crystals.
fast
pro
max
Turn counts are derived from the published rates, assuming a typical agent request of 30k input and 2k output.
How to use it. Put it in an environment variable to call it by name, bypassing the alias default.
Environment variables
export ANTHROPIC_BASE_URL="https://api.pixcode.ai/anthropic"
export ANTHROPIC_AUTH_TOKEN="sk-px-..."
export ANTHROPIC_MODEL="pixcode-fast"Other tools are covered in the docs.
Which plans include it.
Starter $19/moPro $49/moMax $129/mo