LFM2.5-24B-A2B is $0.06 cheaper per 1M input tokens (55.4% lower; 2.24x difference).
API cost decision in 10 seconds
NewLFM2.5-24B-A2B vs DeepSeek V4.1 Flash (batch)
Pick DeepSeek V4.1 Flash (batch) when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4.1 Flash (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash (batch) is estimated at $0.28 vs $0.4 for LFM2.5-24B-A2B, saving $0.12 (30% lower).
Cost-first pickDeepSeek V4.1 Flash (batch)
Context-first pickDeepSeek V4.1 Flash (batch)
Sample savings$0.1230%
10x traffic gap$1.2
DeepSeek V4.1 Flash (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.2. 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 DeepSeek V4.1 Flash (batch), and output-heavy chatbot favors DeepSeek V4.1 Flash (batch).
| Workload shape | Token mix | Better pick | LFM2.5-24B-A2B | DeepSeek V4.1 Flash (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-24B-A2B | $0.6 | $0.73 |
| Balanced workload | 1M input + 1M output | DeepSeek V4.1 Flash (batch) | $0.75 | $0.45 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4.1 Flash (batch) | $3.55 | $1.79 |
DeepSeek V4.1 Flash (batch) is $0.36 cheaper per 1M output tokens (52% lower; 2.08x difference).
DeepSeek V4.1 Flash (batch) has 920.58K more context (8.19x larger).
DeepSeek V4.1 Flash (batch) is $0.12 cheaper on the standard workload (30% 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; DeepSeek V4.1 Flash (batch) has the lower output price; DeepSeek V4.1 Flash (batch) offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4.1 Flash (batch) 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 $0.28 for DeepSeek V4.1 Flash (batch).
Choose LFM2.5-24B-A2B when you care most about lower input-token price.
Choose DeepSeek V4.1 Flash (batch) when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash (batch) is estimated at $0.28 vs $0.4 for LFM2.5-24B-A2B, saving $0.12 (30% lower).
- DeepSeek V4.1 Flash (batch) is $0.12 cheaper on the standard workload (30% lower).
- LFM2.5-24B-A2B is $0.06 cheaper per 1M input tokens (55.4% lower; 2.24x difference).
- DeepSeek V4.1 Flash (batch) is $0.36 cheaper per 1M output tokens (52% lower; 2.08x difference).
- DeepSeek V4.1 Flash (batch) has 920.58K more context (8.19x larger).
| Feature | NewLFM2.5-24B-A2B (LiquidAI) | DeepSeek V4.1 Flash (batch) (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.112 |
| Completion Price per 1M tokens | $0.7 | $0.336 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.28 |
| Context Window | 128K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4.1 Flash (batch) | On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash (batch) is estimated at $0.28 vs $0.4 for LFM2.5-24B-A2B, saving $0.12 (30% 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 | DeepSeek V4.1 Flash (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4.1 Flash (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.
- 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.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 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 DeepSeek 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...
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...