ricursiveAI/Ripple-65B-Preview is $0.22 cheaper per 1M input tokens (52% lower; 2.08x difference).
API cost decision in 10 seconds
NewricursiveAI/Ripple-65B-Preview vs NewHy4
Pick ricursiveAI/Ripple-65B-Preview for lower cost; pick Hy4 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 Hy4 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 $1.04 for Hy4, saving $0.54 (52% lower).
Cost-first pickricursiveAI/Ripple-65B-Preview
Context-first pickHy4
Sample savings$0.5452%
10x traffic gap$5.42
Hy4 has more context, but ricursiveAI/Ripple-65B-Preview saves $0.54 on the standard workload. At 10x that traffic, the same price gap is about $5.42. 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 | Hy4 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | ricursiveAI/Ripple-65B-Preview | $1.3 | $2.71 |
| Balanced workload | 1M input + 1M output | ricursiveAI/Ripple-65B-Preview | $0.8 | $1.67 |
| Output-heavy chatbot | 1M input + 5M output | ricursiveAI/Ripple-65B-Preview | $3.2 | $6.67 |
ricursiveAI/Ripple-65B-Preview is $0.65 cheaper per 1M output tokens (52% lower; 2.08x difference).
Hy4 has 1.03M more context (64x larger).
ricursiveAI/Ripple-65B-Preview is $0.54 cheaper on the standard workload (52% 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
ricursiveAI/Ripple-65B-Preview has the lower input price; ricursiveAI/Ripple-65B-Preview has the lower output price; Hy4 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 $1.04 for Hy4.
Choose ricursiveAI/Ripple-65B-Preview when you care most about lower input-token price, and lower output-token price.
Choose Hy4 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $1.04 for Hy4, saving $0.54 (52% lower).
- ricursiveAI/Ripple-65B-Preview is $0.54 cheaper on the standard workload (52% lower).
- ricursiveAI/Ripple-65B-Preview is $0.22 cheaper per 1M input tokens (52% lower; 2.08x difference).
- ricursiveAI/Ripple-65B-Preview is $0.65 cheaper per 1M output tokens (52% lower; 2.08x difference).
- Hy4 has 1.03M more context (64x larger).
| Feature | NewricursiveAI/Ripple-65B-Preview (ricursiveai) | NewHy4 (Tencent) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.417 |
| Completion Price per 1M tokens | $0.6 | $1.2505 |
| Sample Workload Cost 1M input + 500K output | $0.5 | $1.04 |
| Context Window | 16.38K | 1.05M |
| 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 $1.04 for Hy4, saving $0.54 (52% lower). |
| High-volume input processing | ricursiveAI/Ripple-65B-Preview | 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 | Hy4 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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Open Tencent modelsRipple-65B-Preview by ricursiveAI, a 65B model with native tool calling, served in BF16.
The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...