Ternary Bonsai 2 27B is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
Ternary Bonsai 2 27B vs GPT Luna Latest
Pick Ternary Bonsai 2 27B for lower cost; pick GPT Luna Latest only if the larger context window matters more.
Budget verdict
Pick Ternary Bonsai 2 27B for lower cost; pick GPT Luna Latest only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for GPT Luna Latest, saving $0.02 (7.1% lower).
GPT Luna Latest has more context, but Ternary Bonsai 2 27B saves $0.02 on the standard workload. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ternary Bonsai 2 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ternary Bonsai 2 27B | GPT Luna Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ternary Bonsai 2 27B | $0.62 | $0.75 |
| Balanced workload | 1M input + 1M output | Ternary Bonsai 2 27B | $0.57 | $0.6 |
| Output-heavy chatbot | 1M input + 5M output | Ternary Bonsai 2 27B | $2.58 | $2.6 |
Both models report the same output price at $0.5 per 1M tokens.
GPT Luna Latest has 787.86K more context (4.01x larger).
Ternary Bonsai 2 27B is $0.02 cheaper on the standard workload (7.1% 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 27B has the lower input price; both models tie on output price; GPT Luna Latest offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 27B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.33 for Ternary Bonsai 2 27B and $0.35 for GPT Luna Latest.
Choose Ternary Bonsai 2 27B when you care most about lower input-token price.
Choose GPT Luna Latest when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for GPT Luna Latest, saving $0.02 (7.1% lower).
- Ternary Bonsai 2 27B is $0.02 cheaper on the standard workload (7.1% lower).
- Ternary Bonsai 2 27B is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Both models report the same output price at $0.5 per 1M tokens.
- GPT Luna Latest has 787.86K more context (4.01x larger).
| Feature | Ternary Bonsai 2 27B (PrismML) | GPT Luna Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.1 |
| Completion Price per 1M tokens | $0.5 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.33 | $0.35 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ternary Bonsai 2 27B | On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for GPT Luna Latest, saving $0.02 (7.1% lower). |
| High-volume input processing | Ternary Bonsai 2 27B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT Luna Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ternary Bonsai 2 9B can replace Ternary Bonsai 2 27B when lower sample workload cost matters most: $0.15.
- gpt-oss-120b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
- gpt-oss-120b can replace GPT Luna Latest when lower sample workload cost matters most: $0.04.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
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Cheaper alternatives
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Open OpenAI modelsBonsai 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...
This model always redirects to the latest model in the GPT Luna family.