Perceptron Mk1.5 is $1.35 cheaper per 1M input tokens (90% lower; 10x difference).
API cost decision in 10 seconds
NewGemini Omni 1.1 Flash vs Perceptron Mk1.5
Pick Perceptron Mk1.5 for lower cost; pick Gemini Omni 1.1 Flash 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 Perceptron Mk1.5 for lower cost; pick Gemini Omni 1.1 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $6 for Gemini Omni 1.1 Flash, saving $5.1 (85% lower).
Cost-first pickPerceptron Mk1.5
Context-first pickGemini Omni 1.1 Flash
Sample savings$5.185%
10x traffic gap$51
Gemini Omni 1.1 Flash has more context, but Perceptron Mk1.5 saves $5.1 on the standard workload. At 10x that traffic, the same price gap is about $51. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Perceptron Mk1.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini Omni 1.1 Flash | Perceptron Mk1.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Perceptron Mk1.5 | $12 | $1.5 |
| Balanced workload | 1M input + 1M output | Perceptron Mk1.5 | $10.5 | $1.65 |
| Output-heavy chatbot | 1M input + 5M output | Perceptron Mk1.5 | $46.5 | $7.65 |
Perceptron Mk1.5 is $7.5 cheaper per 1M output tokens (83.3% lower; 6x difference).
Gemini Omni 1.1 Flash has 94.21K more context (3.56x larger).
Perceptron Mk1.5 is $5.1 cheaper on the standard workload (85% 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; Perceptron Mk1.5 has the lower output price; Gemini Omni 1.1 Flash offers the larger context window. For the 1M input plus 500K output sample, Perceptron Mk1.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6 for Gemini Omni 1.1 Flash and $0.9 for Perceptron Mk1.5.
Choose Gemini Omni 1.1 Flash when you care most about larger context window.
Choose Perceptron Mk1.5 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $6 for Gemini Omni 1.1 Flash, saving $5.1 (85% lower).
- Perceptron Mk1.5 is $5.1 cheaper on the standard workload (85% lower).
- Perceptron Mk1.5 is $1.35 cheaper per 1M input tokens (90% lower; 10x difference).
- Perceptron Mk1.5 is $7.5 cheaper per 1M output tokens (83.3% lower; 6x difference).
- Gemini Omni 1.1 Flash has 94.21K more context (3.56x larger).
| Feature | NewGemini Omni 1.1 Flash (Google) | Perceptron Mk1.5 (Perceptron) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.5 | $0.15 |
| Completion Price per 1M tokens | $9 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $6 | $0.9 |
| Context Window | 131.07K | 36.86K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Perceptron Mk1.5 | On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $6 for Gemini Omni 1.1 Flash, saving $5.1 (85% 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 | Perceptron Mk1.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini Omni 1.1 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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