Schematron V2 Small is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
API cost decision in 10 seconds
NewTernary Bonsai 2 27B vs NewSchematron V2 Small
Pick Schematron V2 Small for lower cost; pick Ternary Bonsai 2 27B only if the larger context window matters more.
Budget verdict
Pick Schematron V2 Small for lower cost; pick Ternary Bonsai 2 27B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $0.33 for Ternary Bonsai 2 27B, saving $0.16 (49.2% lower).
Ternary Bonsai 2 27B has more context, but Schematron V2 Small saves $0.16 on the standard workload. At 10x that traffic, the same price gap is about $1.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Schematron V2 Small stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ternary Bonsai 2 27B | Schematron V2 Small |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Schematron V2 Small | $0.62 | $0.36 |
| Balanced workload | 1M input + 1M output | Schematron V2 Small | $0.57 | $0.28 |
| Output-heavy chatbot | 1M input + 5M output | Schematron V2 Small | $2.58 | $1.2 |
Schematron V2 Small is $0.27 cheaper per 1M output tokens (54% lower; 2.17x difference).
Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).
Schematron V2 Small is $0.16 cheaper on the standard workload (49.2% 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
Schematron V2 Small has the lower input price; Schematron V2 Small has the lower output price; Ternary Bonsai 2 27B offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Small 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 $0.17 for Schematron V2 Small.
Choose Ternary Bonsai 2 27B when you care most about larger context window.
Choose Schematron V2 Small when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $0.33 for Ternary Bonsai 2 27B, saving $0.16 (49.2% lower).
- Schematron V2 Small is $0.16 cheaper on the standard workload (49.2% lower).
- Schematron V2 Small is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
- Schematron V2 Small is $0.27 cheaper per 1M output tokens (54% lower; 2.17x difference).
- Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).
| Feature | NewTernary Bonsai 2 27B (PrismML) | NewSchematron V2 Small (Inference.net) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.05 |
| Completion Price per 1M tokens | $0.5 | $0.23 |
| Sample Workload Cost 1M input + 500K output | $0.33 | $0.17 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Schematron V2 Small | On the standard 1M input plus 500K output workload, Schematron V2 Small is estimated at $0.17 vs $0.33 for Ternary Bonsai 2 27B, saving $0.16 (49.2% lower). |
| High-volume input processing | Schematron V2 Small | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Schematron V2 Small | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ternary Bonsai 2 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Schematron V2 Turbo can replace Schematron V2 Small when lower sample workload cost matters most: $0.1.
- GLM 5.3 Flash offers 1.31M context with $0.24 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Qwen3.8 Max (0902) · Qwen · #1
- GPT-5.6 Luna · OpenAI · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #4
Cheaper alternatives
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