Perceptron Mk1.5 is $0.2 cheaper per 1M input tokens (57.1% lower; 2.33x difference).
API cost decision in 10 seconds
Perceptron Mk1.5 vs LFM2.5-2.6B
Pick LFM2.5-2.6B 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 LFM2.5-2.6B when budget and context both matter.
On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $0.9 for Perceptron Mk1.5, saving $0.3 (33.3% lower).
Cost-first pickLFM2.5-2.6B
Context-first pickLFM2.5-2.6B
Sample savings$0.333.3%
10x traffic gap$3
LFM2.5-2.6B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1.5, balanced workload favors LFM2.5-2.6B, and output-heavy chatbot favors LFM2.5-2.6B.
| Workload shape | Token mix | Better pick | Perceptron Mk1.5 | LFM2.5-2.6B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Perceptron Mk1.5 | $1.5 | $2 |
| Balanced workload | 1M input + 1M output | LFM2.5-2.6B | $1.65 | $0.85 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-2.6B | $7.65 | $2.85 |
LFM2.5-2.6B is $1 cheaper per 1M output tokens (66.7% lower; 3x difference).
LFM2.5-2.6B has 91.14K more context (3.47x larger).
LFM2.5-2.6B is $0.3 cheaper on the standard workload (33.3% 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
Perceptron Mk1.5 has the lower input price; LFM2.5-2.6B has the lower output price; LFM2.5-2.6B offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-2.6B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for Perceptron Mk1.5 and $0.6 for LFM2.5-2.6B.
Choose Perceptron Mk1.5 when you care most about lower input-token price.
Choose LFM2.5-2.6B when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $0.9 for Perceptron Mk1.5, saving $0.3 (33.3% lower).
- LFM2.5-2.6B is $0.3 cheaper on the standard workload (33.3% lower).
- Perceptron Mk1.5 is $0.2 cheaper per 1M input tokens (57.1% lower; 2.33x difference).
- LFM2.5-2.6B is $1 cheaper per 1M output tokens (66.7% lower; 3x difference).
- LFM2.5-2.6B has 91.14K more context (3.47x larger).
| Feature | Perceptron Mk1.5 (Perceptron) | LFM2.5-2.6B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.35 |
| Completion Price per 1M tokens | $1.5 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.9 | $0.6 |
| Context Window | 36.86K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-2.6B | On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $0.9 for Perceptron Mk1.5, saving $0.3 (33.3% lower). |
| High-volume input processing | Perceptron Mk1.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2.5-2.6B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | LFM2.5-2.6B | 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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