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PrismML: Ternary Bonsai 2 27B API Pricing

PrismML: Ternary Bonsai 2 27B costs $0.075 per 1M input tokens and $0.500 per 1M output tokens (cache reads: $0.037). Context window: 262K. Prices verified 2026-10-21 · source

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Price history
2026-09-19 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
2.7M
HF downloads
3K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.075
Output / 1M tokens
$0.500
Context window
262K
Max output
33K

Token economics

Token typePricevs base input
Standard input$0.075—
Cache read$0.037−50%
Output$0.500—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: On by default (toggleable)
Effort levels:xhighmediumnone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would PrismML: Ternary Bonsai 2 27B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$2.60
Coding agent5,0008,000 / 2,000$8.00
RAG pipeline30,0004,000 / 500$16.50
Doc summarizer2,00020,000 / 1,000$4.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About PrismML: Ternary Bonsai 2 27B

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 PrismML: Ternary Bonsai 2 27B with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does PrismML: Ternary Bonsai 2 27B cost?

PrismML: Ternary Bonsai 2 27B costs $0.075 per 1M input tokens and $0.500 per 1M output tokens; cached input tokens cost $0.037 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 33K output tokens per response. That's roughly 328 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.037/1M, about 50% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 85% on a typical workload with comparable quality.

Official resources