LFM2-24B-A2B is $0.03 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
GLM 4.7 Flash vs LFM2-24B-A2B
Pick LFM2-24B-A2B for lower cost; pick GLM 4.7 Flash 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 LFM2-24B-A2B for lower cost; pick GLM 4.7 Flash 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 $0.26 for GLM 4.7 Flash, saving $0.17 (65.4% lower).
Cost-first pickLFM2-24B-A2B
Context-first pickGLM 4.7 Flash
Sample savings$0.1765.4%
10x traffic gap$1.7
GLM 4.7 Flash has more context, but LFM2-24B-A2B saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.7. 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 | GLM 4.7 Flash | LFM2-24B-A2B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2-24B-A2B | $0.5 | $0.21 |
| Balanced workload | 1M input + 1M output | LFM2-24B-A2B | $0.46 | $0.15 |
| Output-heavy chatbot | 1M input + 5M output | LFM2-24B-A2B | $2.06 | $0.63 |
LFM2-24B-A2B is $0.28 cheaper per 1M output tokens (70% lower; 3.33x difference).
GLM 4.7 Flash has 74.75K more context (1.58x larger).
LFM2-24B-A2B is $0.17 cheaper on the standard workload (65.4% 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; GLM 4.7 Flash 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 $0.26 for GLM 4.7 Flash and $0.09 for LFM2-24B-A2B.
Choose GLM 4.7 Flash 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 $0.26 for GLM 4.7 Flash, saving $0.17 (65.4% lower).
- LFM2-24B-A2B is $0.17 cheaper on the standard workload (65.4% lower).
- LFM2-24B-A2B is $0.03 cheaper per 1M input tokens (50% lower; 2x difference).
- LFM2-24B-A2B is $0.28 cheaper per 1M output tokens (70% lower; 3.33x difference).
- GLM 4.7 Flash has 74.75K more context (1.58x larger).
| Feature | GLM 4.7 Flash (Z.ai) | LFM2-24B-A2B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.06 | $0.03 |
| Completion Price per 1M tokens | $0.4 | $0.12 |
| Sample Workload Cost 1M input + 500K output | $0.26 | $0.09 |
| Context Window | 202.75K | 128K |
| Release Date | ||
| Popularity | #58 | #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 $0.26 for GLM 4.7 Flash, saving $0.17 (65.4% 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 | GLM 4.7 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 4.5 Air (free) can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.15.
- 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.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsZ.ai catalog
Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.
Open Z.ai modelsLiquidAI catalog
Check other LiquidAI models with comparable pricing, context, or release timing.
Open LiquidAI modelsAs a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...