LFM2.5-24B-A2B is $0.95 cheaper per 1M input tokens (95% lower; 20x difference).
API cost decision in 10 seconds
NewLFM2.5-24B-A2B vs Inkling (batch)
Pick LFM2.5-24B-A2B for lower cost; pick Inkling (batch) 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 LFM2.5-24B-A2B for lower cost; pick Inkling (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $3.02 for Inkling (batch), saving $2.62 (86.8% lower).
Cost-first pickLFM2.5-24B-A2B
Context-first pickInkling (batch)
Sample savings$2.6286.8%
10x traffic gap$26.25
Inkling (batch) has more context, but LFM2.5-24B-A2B saves $2.62 on the standard workload. At 10x that traffic, the same price gap is about $26.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2.5-24B-A2B | Inkling (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-24B-A2B | $0.6 | $7.03 |
| Balanced workload | 1M input + 1M output | LFM2.5-24B-A2B | $0.75 | $5.05 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-24B-A2B | $3.55 | $21.25 |
LFM2.5-24B-A2B is $3.35 cheaper per 1M output tokens (82.7% lower; 5.79x difference).
Inkling (batch) has 396.29K more context (4.1x larger).
LFM2.5-24B-A2B is $2.62 cheaper on the standard workload (86.8% 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; LFM2.5-24B-A2B has the lower output price; Inkling (batch) 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 $0.4 for LFM2.5-24B-A2B and $3.02 for Inkling (batch).
Choose LFM2.5-24B-A2B when you care most about lower input-token price, and lower output-token price.
Choose Inkling (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $3.02 for Inkling (batch), saving $2.62 (86.8% lower).
- LFM2.5-24B-A2B is $2.62 cheaper on the standard workload (86.8% lower).
- LFM2.5-24B-A2B is $0.95 cheaper per 1M input tokens (95% lower; 20x difference).
- LFM2.5-24B-A2B is $3.35 cheaper per 1M output tokens (82.7% lower; 5.79x difference).
- Inkling (batch) has 396.29K more context (4.1x larger).
| Feature | NewLFM2.5-24B-A2B (LiquidAI) | Inkling (batch) (Thinking Machines) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $1 |
| Completion Price per 1M tokens | $0.7 | $4.05 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $3.02 |
| Context Window | 128K | 524.29K |
| 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 $3.02 for Inkling (batch), saving $2.62 (86.8% 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 | LFM2.5-24B-A2B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Inkling (batch) | 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.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
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Open Thinking Machines modelsLFM2.5-24B-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...
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...