Ternary Bonsai 2 27B
prism-
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B.
$0.0825 in · $0.55 out per 1M tokens262k contextSep 18, 2026
A typical message: about 500 tokens you send and 500 it writes.
Spec sheet
Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.
Price, billed here
- Input, per 1M tokens
- $0.0825provider $0.075
- Output, per 1M tokens
- $0.55provider $0.50
- Cached input, per 1M
- $0.04125provider $0.0375
- Margin
- +10%
Context and formats
- Context window
- 262,144 tokens
- Longest answer
- 32,768 tokens
- Reads
- text and images
- Makes
- text
- First listed
- 2026-09-18
Measured here, last 7 days
- First token, median
- not measured
- Answered without error
- not measured
Tools and JSON
- Tool calling
- declaredthe provider's claim, not yet measured here
- JSON output
- declaredthe provider's claim, not yet measured here
Price and latency history as JSON: GET /.
About
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
In PrismML's words.
Try it here
Measured here
Call it
Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.
curl https://useantimatter.com/v1/chat/completions \
-H "Authorization: Bearer $ANTIMATTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "prism-ml/ternary-bonsai-2-27b", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
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