LFM2-24B-A2B is $0.12 cheaper per 1M input tokens (80% lower; 5x difference).
API cost decision in 10 seconds
MiniMax M2.5 vs LFM2-24B-A2B
Pick LFM2-24B-A2B for lower cost; pick MiniMax M2.5 only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick LFM2-24B-A2B for lower cost; pick MiniMax M2.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.72 for MiniMax M2.5, saving $0.64 (87.6% lower).
Cost-first pickLFM2-24B-A2B
Context-first pickMiniMax M2.5
Sample savings$0.6487.6%
10x traffic gap$6.35
MiniMax M2.5 has more context, but LFM2-24B-A2B saves $0.64 on the standard workload. At 10x that traffic, the same price gap is about $6.35. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiniMax M2.5 | LFM2-24B-A2B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2-24B-A2B | $1.32 | $0.21 |
| Balanced workload | 1M input + 1M output | LFM2-24B-A2B | $1.3 | $0.15 |
| Output-heavy chatbot | 1M input + 5M output | LFM2-24B-A2B | $5.9 | $0.63 |
LFM2-24B-A2B is $1.03 cheaper per 1M output tokens (89.6% lower; 9.58x difference).
MiniMax M2.5 has 76.8K more context (1.6x larger).
LFM2-24B-A2B is $0.64 cheaper on the standard workload (87.6% 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
LFM2-24B-A2B has the lower input price; LFM2-24B-A2B has the lower output price; MiniMax M2.5 offers the larger context window. For the 1M input plus 500K output sample, LFM2-24B-A2B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.72 for MiniMax M2.5 and $0.09 for LFM2-24B-A2B.
Choose MiniMax M2.5 when you care most about larger context window.
Choose LFM2-24B-A2B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.72 for MiniMax M2.5, saving $0.64 (87.6% lower).
- LFM2-24B-A2B is $0.64 cheaper on the standard workload (87.6% lower).
- LFM2-24B-A2B is $0.12 cheaper per 1M input tokens (80% lower; 5x difference).
- LFM2-24B-A2B is $1.03 cheaper per 1M output tokens (89.6% lower; 9.58x difference).
- MiniMax M2.5 has 76.8K more context (1.6x larger).
| Feature | MiniMax M2.5 (MiniMax) | LFM2-24B-A2B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.03 |
| Completion Price per 1M tokens | $1.15 | $0.12 |
| Sample Workload Cost 1M input + 500K output | $0.72 | $0.09 |
| Context Window | 204.8K | 128K |
| Release Date | ||
| Popularity | #35 | #125 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2-24B-A2B | On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.72 for MiniMax M2.5, saving $0.64 (87.6% lower). |
| High-volume input processing | LFM2-24B-A2B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2-24B-A2B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiniMax M2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiniMax M2.5 (free) can replace MiniMax M2.5 when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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