LFM2.5-24B-A2B is $0.09 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
API cost decision in 10 seconds
LFM2.5-24B-A2B vs MiMo-V2.6-Flash
Pick MiMo-V2.6-Flash when budget and context both matter.
Budget verdict
Pick MiMo-V2.6-Flash when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2.6-Flash is estimated at $0.28 vs $0.4 for LFM2.5-24B-A2B, saving $0.12 (30% lower).
MiMo-V2.6-Flash 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 MiMo-V2.6-Flash, and output-heavy chatbot favors MiMo-V2.6-Flash.
| Workload shape | Token mix | Better pick | LFM2.5-24B-A2B | MiMo-V2.6-Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-24B-A2B | $0.6 | $0.84 |
| Balanced workload | 1M input + 1M output | MiMo-V2.6-Flash | $0.75 | $0.42 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.6-Flash | $3.55 | $1.54 |
MiMo-V2.6-Flash is $0.42 cheaper per 1M output tokens (60% lower; 2.5x difference).
MiMo-V2.6-Flash has 922K more context (8.2x larger).
MiMo-V2.6-Flash 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; MiMo-V2.6-Flash has the lower output price; MiMo-V2.6-Flash offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.6-Flash 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 MiMo-V2.6-Flash.
Choose LFM2.5-24B-A2B when you care most about lower input-token price.
Choose MiMo-V2.6-Flash when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, MiMo-V2.6-Flash is estimated at $0.28 vs $0.4 for LFM2.5-24B-A2B, saving $0.12 (30% lower).
- MiMo-V2.6-Flash is $0.12 cheaper on the standard workload (30% lower).
- LFM2.5-24B-A2B is $0.09 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
- MiMo-V2.6-Flash is $0.42 cheaper per 1M output tokens (60% lower; 2.5x difference).
- MiMo-V2.6-Flash has 922K more context (8.2x larger).
| Feature | LFM2.5-24B-A2B (LiquidAI) | MiMo-V2.6-Flash (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.14 |
| Completion Price per 1M tokens | $0.7 | $0.28 |
| 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 | MiMo-V2.6-Flash | On the standard 1M input plus 500K output workload, MiMo-V2.6-Flash 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 | MiMo-V2.6-Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.6-Flash | 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 $0.25 sample workload cost.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsLiquidAI catalog
Review all tracked LiquidAI models before deciding whether this matchup is the right shortlist.
Open LiquidAI modelsXiaomi catalog
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Open Xiaomi 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...
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...