LFM2.5-1.2B-Instruct (free) is free for input tokens while Ministral 3 3B 2512 costs $0.1 per 1M tokens.
API cost decision in 10 seconds
LFM2.5-1.2B-Instruct (free) vs Ministral 3 3B 2512
Pick LFM2.5-1.2B-Instruct (free) for lower cost; pick Ministral 3 3B 2512 only if the larger context window matters more.
Budget verdict
Pick LFM2.5-1.2B-Instruct (free) for lower cost; pick Ministral 3 3B 2512 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $0.15 for Ministral 3 3B 2512, saving $0.15 (100% lower).
Ministral 3 3B 2512 has more context, but LFM2.5-1.2B-Instruct (free) saves $0.15 on the standard workload. At 10x that traffic, the same price gap is about $1.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-1.2B-Instruct (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2.5-1.2B-Instruct (free) | Ministral 3 3B 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-1.2B-Instruct (free) | $0 | $0.55 |
| Balanced workload | 1M input + 1M output | LFM2.5-1.2B-Instruct (free) | $0 | $0.2 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-1.2B-Instruct (free) | $0 | $0.6 |
LFM2.5-1.2B-Instruct (free) is free for output tokens while Ministral 3 3B 2512 costs $0.1 per 1M tokens.
Ministral 3 3B 2512 has 98.3K more context (4x larger).
LFM2.5-1.2B-Instruct (free) is free for the standard workload while the other model is estimated at $0.15.
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-Instruct (free) has the lower input price; LFM2.5-1.2B-Instruct (free) has the lower output price; Ministral 3 3B 2512 offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-1.2B-Instruct (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-Instruct (free) and $0.15 for Ministral 3 3B 2512.
Choose LFM2.5-1.2B-Instruct (free) when you care most about lower input-token price, and lower output-token price.
Choose Ministral 3 3B 2512 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $0.15 for Ministral 3 3B 2512, saving $0.15 (100% lower).
- LFM2.5-1.2B-Instruct (free) is free for the standard workload while the other model is estimated at $0.15.
- LFM2.5-1.2B-Instruct (free) is free for input tokens while Ministral 3 3B 2512 costs $0.1 per 1M tokens.
- LFM2.5-1.2B-Instruct (free) is free for output tokens while Ministral 3 3B 2512 costs $0.1 per 1M tokens.
- Ministral 3 3B 2512 has 98.3K more context (4x larger).
| Feature | LFM2.5-1.2B-Instruct (free) (LiquidAI) | Ministral 3 3B 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.1 |
| Completion Price per 1M tokens | $0 | $0.1 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.15 |
| Context Window | 32.77K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-1.2B-Instruct (free) | On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $0.15 for Ministral 3 3B 2512, saving $0.15 (100% lower). |
| High-volume input processing | LFM2.5-1.2B-Instruct (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2.5-1.2B-Instruct (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ministral 3 3B 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Ministral 3 3B 2512 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Ministral 3 3B 2512 when lower sample workload cost matters most: $0.09.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.
- Lyria 3 Clip Preview offers 1.05M context with $0 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
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Open Mistral modelsLFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.