LFM2.5-1.2B-Thinking (free) is free for input tokens while DeepSeek V3.1 Nex N1 costs $0.14 per 1M tokens.
API cost decision in 10 seconds
LFM2.5-1.2B-Thinking (free) vs DeepSeek V3.1 Nex N1
Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick DeepSeek V3.1 Nex N1 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 LFM2.5-1.2B-Thinking (free) for lower cost; pick DeepSeek V3.1 Nex N1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower).
Cost-first pickLFM2.5-1.2B-Thinking (free)
Context-first pickDeepSeek V3.1 Nex N1
Sample savings$0.39100%
10x traffic gap$3.85
DeepSeek V3.1 Nex N1 has more context, but LFM2.5-1.2B-Thinking (free) saves $0.39 on the standard workload. At 10x that traffic, the same price gap is about $3.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-1.2B-Thinking (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2.5-1.2B-Thinking (free) | DeepSeek V3.1 Nex N1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-1.2B-Thinking (free) | $0 | $0.93 |
| Balanced workload | 1M input + 1M output | LFM2.5-1.2B-Thinking (free) | $0 | $0.64 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-1.2B-Thinking (free) | $0 | $2.63 |
LFM2.5-1.2B-Thinking (free) is free for output tokens while DeepSeek V3.1 Nex N1 costs $0.5 per 1M tokens.
DeepSeek V3.1 Nex N1 has 98.3K more context (4x larger).
LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $0.39.
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
LFM2.5-1.2B-Thinking (free) has the lower input price; LFM2.5-1.2B-Thinking (free) has the lower output price; DeepSeek V3.1 Nex N1 offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-1.2B-Thinking (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for LFM2.5-1.2B-Thinking (free) and $0.39 for DeepSeek V3.1 Nex N1.
Choose LFM2.5-1.2B-Thinking (free) when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V3.1 Nex N1 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower).
- LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $0.39.
- LFM2.5-1.2B-Thinking (free) is free for input tokens while DeepSeek V3.1 Nex N1 costs $0.14 per 1M tokens.
- LFM2.5-1.2B-Thinking (free) is free for output tokens while DeepSeek V3.1 Nex N1 costs $0.5 per 1M tokens.
- DeepSeek V3.1 Nex N1 has 98.3K more context (4x larger).
| Feature | LFM2.5-1.2B-Thinking (free) (LiquidAI) | DeepSeek V3.1 Nex N1 (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.135 |
| Completion Price per 1M tokens | $0 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.39 |
| Context Window | 32.77K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-1.2B-Thinking (free) | On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.39 for DeepSeek V3.1 Nex N1, saving $0.39 (100% lower). |
| High-volume input processing | LFM2.5-1.2B-Thinking (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2.5-1.2B-Thinking (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V3.1 Nex N1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- 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
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Open provider hubsLiquidAI catalog
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Open LiquidAI modelsNex AGI catalog
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