Ternary Bonsai 2 27B is $0.27 cheaper per 1M input tokens (78.6% lower; 4.67x difference).
API cost decision in 10 seconds
Ternary Bonsai 2 27B vs LFM2.5-2.6B
Pick Ternary Bonsai 2 27B when budget and context both matter.
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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 27B when budget and context both matter.
On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.6 for LFM2.5-2.6B, saving $0.27 (45.8% lower).
Cost-first pickTernary Bonsai 2 27B
Context-first pickTernary Bonsai 2 27B
Sample savings$0.2745.8%
10x traffic gap$2.75
Ternary Bonsai 2 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.75. 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 | LFM2.5-2.6B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ternary Bonsai 2 27B | $0.62 | $2 |
| Balanced workload | 1M input + 1M output | Ternary Bonsai 2 27B | $0.57 | $0.85 |
| Output-heavy chatbot | 1M input + 5M output | Ternary Bonsai 2 27B | $2.58 | $2.85 |
Both models report the same output price at $0.5 per 1M tokens.
Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).
Ternary Bonsai 2 27B is $0.27 cheaper on the standard workload (45.8% 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; Ternary Bonsai 2 27B 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 $0.6 for LFM2.5-2.6B.
Choose Ternary Bonsai 2 27B when you care most about lower input-token price, and larger context window.
Choose LFM2.5-2.6B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.6 for LFM2.5-2.6B, saving $0.27 (45.8% lower).
- Ternary Bonsai 2 27B is $0.27 cheaper on the standard workload (45.8% lower).
- Ternary Bonsai 2 27B is $0.27 cheaper per 1M input tokens (78.6% lower; 4.67x difference).
- Both models report the same output price at $0.5 per 1M tokens.
- Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).
| Feature | Ternary Bonsai 2 27B (PrismML) | LFM2.5-2.6B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.35 |
| Completion Price per 1M tokens | $0.5 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.33 | $0.6 |
| Context Window | 262.14K | 128K |
| 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 $0.6 for LFM2.5-2.6B, saving $0.27 (45.8% 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 | Ternary Bonsai 2 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM2.5-2.6B (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2-24B-A2B can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
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- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
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Cheaper alternatives
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