LFM2.5-24B-A2B is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).
API cost decision in 10 seconds
NewricursiveAI/Ripple-65B-Preview vs LFM2.5-24B-A2B
Pick LFM2.5-24B-A2B when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick LFM2.5-24B-A2B when budget and context both matter.
On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.5 for ricursiveAI/Ripple-65B-Preview, saving $0.1 (20% lower).
Cost-first pickLFM2.5-24B-A2B
Context-first pickLFM2.5-24B-A2B
Sample savings$0.120%
10x traffic gap$1
LFM2.5-24B-A2B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1. 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 LFM2.5-24B-A2B, balanced workload favors LFM2.5-24B-A2B, and output-heavy chatbot favors ricursiveAI/Ripple-65B-Preview.
| Workload shape | Token mix | Better pick | ricursiveAI/Ripple-65B-Preview | LFM2.5-24B-A2B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-24B-A2B | $1.3 | $0.6 |
| Balanced workload | 1M input + 1M output | LFM2.5-24B-A2B | $0.8 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | ricursiveAI/Ripple-65B-Preview | $3.2 | $3.55 |
ricursiveAI/Ripple-65B-Preview is $0.1 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
LFM2.5-24B-A2B has 111.62K more context (7.81x larger).
LFM2.5-24B-A2B is $0.1 cheaper on the standard workload (20% 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
LFM2.5-24B-A2B has the lower input price; ricursiveAI/Ripple-65B-Preview has the lower output price; LFM2.5-24B-A2B offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-24B-A2B 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 $0.4 for LFM2.5-24B-A2B.
Choose ricursiveAI/Ripple-65B-Preview when you care most about lower output-token price.
Choose LFM2.5-24B-A2B when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.5 for ricursiveAI/Ripple-65B-Preview, saving $0.1 (20% lower).
- LFM2.5-24B-A2B is $0.1 cheaper on the standard workload (20% lower).
- LFM2.5-24B-A2B is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).
- ricursiveAI/Ripple-65B-Preview is $0.1 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
- LFM2.5-24B-A2B has 111.62K more context (7.81x larger).
| Feature | NewricursiveAI/Ripple-65B-Preview (ricursiveai) | LFM2.5-24B-A2B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.05 |
| Completion Price per 1M tokens | $0.6 | $0.7 |
| Sample Workload Cost 1M input + 500K output | $0.5 | $0.4 |
| Context Window | 16.38K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-24B-A2B | On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.5 for ricursiveAI/Ripple-65B-Preview, saving $0.1 (20% lower). |
| High-volume input processing | LFM2.5-24B-A2B | 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 | LFM2.5-24B-A2B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM2.5-2.6B (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2-24B-A2B can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.09.
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- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
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- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
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Open LiquidAI modelsRipple-65B-Preview by ricursiveAI, a 65B model with native tool calling, served in BF16.
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...