Ternary Bonsai 2 9B is $0.17 cheaper per 1M input tokens (68.5% lower; 3.18x difference).
API cost decision in 10 seconds
NewTernary Bonsai 2 9B vs DeepSeek Pro Latest
Pick Ternary Bonsai 2 9B for lower cost; pick DeepSeek Pro Latest only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ternary Bonsai 2 9B for lower cost; pick DeepSeek Pro Latest only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $4.25 for DeepSeek Pro Latest, saving $4.11 (96.6% lower).
Cost-first pickTernary Bonsai 2 9B
Context-first pickDeepSeek Pro Latest
Sample savings$4.1196.6%
10x traffic gap$41.09
DeepSeek Pro Latest has more context, but Ternary Bonsai 2 9B saves $4.11 on the standard workload. At 10x that traffic, the same price gap is about $41.09. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ternary Bonsai 2 9B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ternary Bonsai 2 9B | DeepSeek Pro Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ternary Bonsai 2 9B | $0.47 | $5.27 |
| Balanced workload | 1M input + 1M output | Ternary Bonsai 2 9B | $0.21 | $8.25 |
| Output-heavy chatbot | 1M input + 5M output | Ternary Bonsai 2 9B | $0.73 | $40.25 |
Ternary Bonsai 2 9B is $7.87 cheaper per 1M output tokens (98.4% lower; 61.5x difference).
DeepSeek Pro Latest has 786.43K more context (4x larger).
Ternary Bonsai 2 9B is $4.11 cheaper on the standard workload (96.6% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Ternary Bonsai 2 9B has the lower input price; Ternary Bonsai 2 9B has the lower output price; DeepSeek Pro Latest offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 9B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for Ternary Bonsai 2 9B and $4.25 for DeepSeek Pro Latest.
Choose Ternary Bonsai 2 9B when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek Pro Latest when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $4.25 for DeepSeek Pro Latest, saving $4.11 (96.6% lower).
- Ternary Bonsai 2 9B is $4.11 cheaper on the standard workload (96.6% lower).
- Ternary Bonsai 2 9B is $0.17 cheaper per 1M input tokens (68.5% lower; 3.18x difference).
- Ternary Bonsai 2 9B is $7.87 cheaper per 1M output tokens (98.4% lower; 61.5x difference).
- DeepSeek Pro Latest has 786.43K more context (4x larger).
| Feature | NewTernary Bonsai 2 9B (PrismML) | DeepSeek Pro Latest (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.2542 |
| Completion Price per 1M tokens | $0.13 | $8 |
| Sample Workload Cost 1M input + 500K output | $0.15 | $4.25 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ternary Bonsai 2 9B | On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $4.25 for DeepSeek Pro Latest, saving $4.11 (96.6% lower). |
| High-volume input processing | Ternary Bonsai 2 9B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ternary Bonsai 2 9B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek Pro Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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Open DeepSeek modelsTernary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...
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