LFM2-24B-A2B is $0.04 cheaper per 1M input tokens (60% lower; 2.5x difference).
API cost decision in 10 seconds
LFM2-24B-A2B vs gpt-oss-safeguard-20b
Pick LFM2-24B-A2B for lower cost; pick gpt-oss-safeguard-20b only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick LFM2-24B-A2B for lower cost; pick gpt-oss-safeguard-20b 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 $0.22 for gpt-oss-safeguard-20b, saving $0.13 (60% lower).
Cost-first pickLFM2-24B-A2B
Context-first pickgpt-oss-safeguard-20b
Sample savings$0.1360%
10x traffic gap$1.35
gpt-oss-safeguard-20b has more context, but LFM2-24B-A2B saves $0.13 on the standard workload. At 10x that traffic, the same price gap is about $1.35. 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 | LFM2-24B-A2B | gpt-oss-safeguard-20b |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2-24B-A2B | $0.21 | $0.53 |
| Balanced workload | 1M input + 1M output | LFM2-24B-A2B | $0.15 | $0.38 |
| Output-heavy chatbot | 1M input + 5M output | LFM2-24B-A2B | $0.63 | $1.57 |
LFM2-24B-A2B is $0.18 cheaper per 1M output tokens (60% lower; 2.5x difference).
gpt-oss-safeguard-20b has 3.07K more context (1.02x larger).
LFM2-24B-A2B is $0.13 cheaper on the standard workload (60% 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; gpt-oss-safeguard-20b 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 $0.09 for LFM2-24B-A2B and $0.22 for gpt-oss-safeguard-20b.
Choose LFM2-24B-A2B when you care most about lower input-token price, and lower output-token price.
Choose gpt-oss-safeguard-20b when you care most about larger context window.
- On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.22 for gpt-oss-safeguard-20b, saving $0.13 (60% lower).
- LFM2-24B-A2B is $0.13 cheaper on the standard workload (60% lower).
- LFM2-24B-A2B is $0.04 cheaper per 1M input tokens (60% lower; 2.5x difference).
- LFM2-24B-A2B is $0.18 cheaper per 1M output tokens (60% lower; 2.5x difference).
- gpt-oss-safeguard-20b has 3.07K more context (1.02x larger).
| Feature | LFM2-24B-A2B (LiquidAI) | gpt-oss-safeguard-20b (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $0.075 |
| Completion Price per 1M tokens | $0.12 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $0.09 | $0.22 |
| Context Window | 128K | 131.07K |
| Release Date |
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 $0.22 for gpt-oss-safeguard-20b, saving $0.13 (60% 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 | gpt-oss-safeguard-20b | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- 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.
- gpt-oss-120b (free) can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-safeguard-20b 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 Flash (free) offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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