Ternary Bonsai 2 27B
by Prism Ml · prism-ml/ternary-bonsai-2-27b · #85 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.075
per 1M tokens
Output
$0.50
per 1M tokens
Blended (3:1)
$0.181
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Ternary Bonsai 2 27B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.181 | $0.00815 | — |
| 50% | $0.181 | $0.00815 | −0% |
| 90% | $0.181 | $0.00815 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000187 | $0.1875 |
| Document summary | 8,000 | 1,000 | $0.0011 | $1.10 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00325 | $3.25 |
| Long-context analysis | 150,000 | 5,000 | $0.0138 | $13.75 |
Specs
Context window
262K
tokens
Max output
33K
tokens
Input modalities
text, image
Tokenizer
Qwen