Perceptron Mk1.5 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
NewricursiveAI/Ripple-65B-Preview vs Perceptron Mk1.5
Pick ricursiveAI/Ripple-65B-Preview for lower cost; pick Perceptron Mk1.5 only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick ricursiveAI/Ripple-65B-Preview for lower cost; pick Perceptron Mk1.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $0.9 for Perceptron Mk1.5, saving $0.4 (44.4% lower).
Cost-first pickricursiveAI/Ripple-65B-Preview
Context-first pickPerceptron Mk1.5
Sample savings$0.444.4%
10x traffic gap$4
Perceptron Mk1.5 has more context, but ricursiveAI/Ripple-65B-Preview saves $0.4 on the standard workload. At 10x that traffic, the same price gap is about $4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
ricursiveAI/Ripple-65B-Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | ricursiveAI/Ripple-65B-Preview | Perceptron Mk1.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | ricursiveAI/Ripple-65B-Preview | $1.3 | $1.5 |
| Balanced workload | 1M input + 1M output | ricursiveAI/Ripple-65B-Preview | $0.8 | $1.65 |
| Output-heavy chatbot | 1M input + 5M output | ricursiveAI/Ripple-65B-Preview | $3.2 | $7.65 |
ricursiveAI/Ripple-65B-Preview is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).
Perceptron Mk1.5 has 20.48K more context (2.25x larger).
ricursiveAI/Ripple-65B-Preview is $0.4 cheaper on the standard workload (44.4% 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; ricursiveAI/Ripple-65B-Preview has the lower output price; Perceptron Mk1.5 offers the larger context window. For the 1M input plus 500K output sample, ricursiveAI/Ripple-65B-Preview is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.5 for ricursiveAI/Ripple-65B-Preview and $0.9 for Perceptron Mk1.5.
Choose ricursiveAI/Ripple-65B-Preview when you care most about lower output-token price.
Choose Perceptron Mk1.5 when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $0.9 for Perceptron Mk1.5, saving $0.4 (44.4% lower).
- ricursiveAI/Ripple-65B-Preview is $0.4 cheaper on the standard workload (44.4% lower).
- Perceptron Mk1.5 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
- ricursiveAI/Ripple-65B-Preview is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).
- Perceptron Mk1.5 has 20.48K more context (2.25x larger).
| Feature | NewricursiveAI/Ripple-65B-Preview (ricursiveai) | Perceptron Mk1.5 (Perceptron) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.15 |
| Completion Price per 1M tokens | $0.6 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0.5 | $0.9 |
| Context Window | 16.38K | 36.86K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | ricursiveAI/Ripple-65B-Preview | On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $0.9 for Perceptron Mk1.5, saving $0.4 (44.4% 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 | ricursiveAI/Ripple-65B-Preview | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Perceptron Mk1.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
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Open Perceptron modelsRipple-65B-Preview by ricursiveAI, a 65B model with native tool calling, served in BF16.
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...