Ternary Bonsai 2 9B is Ternary's language model with a 262K context window and up to 66K output tokens, starting at $0.08 / 1M input and $0.13 / 1M output. A compact, open-weight conversational LLM built on Qwen3.5 that uses ternary weights packed into 2 bits for efficient inference in reasoning and tool-use tasks.
Capabilities
Input2/5
Text✓
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities4/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | ||
|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | |
| $0.08 | $0.13 | $0.04 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Ternary Bonsai 2 9B, ranked by cheapest on-demand price. The model needs about 22 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| g2-standard-4 |  GCP | nvidia-l4 | 24 GB | $0.705/hr | ||
| g6.xlarge |  AWS | L4 | 22 GB | $0.805/hr | ||
| g2-standard-8 | GCP | nvidia-l4 | 24 GB | $0.851/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Ternary Bonsai 2 9B | 262K | $0.080 | $0.130 | Current | |
| Bonsai 2 27B | — | 262K | — | — | Available |
| Bonsai 27B | — | 262K | — | — | Available |