API cost decision in 10 seconds
LFM2.5-2.6B (free) vs 🔥DeepSeek V4 Flash 0731
Pick LFM2.5-2.6B (free) for lower cost; pick DeepSeek V4 Flash 0731 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 LFM2.5-2.6B (free) for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-2.6B (free) is estimated at $0 vs $0.08 for DeepSeek V4 Flash 0731, saving $0.08 (100% lower).
Cost-first pickLFM2.5-2.6B (free)
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.08100%
10x traffic gap$0.8
DeepSeek V4 Flash 0731 has more context, but LFM2.5-2.6B (free) saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.8. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-2.6B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2.5-2.6B (free) | DeepSeek V4 Flash 0731 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-2.6B (free) | $0 | $0.24 |
| Balanced workload | 1M input + 1M output | LFM2.5-2.6B (free) | $0 | $0.12 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-2.6B (free) | $0 | $0.44 |
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
LFM2.5-2.6B (free) has the lower input price, LFM2.5-2.6B (free) has the lower output price, and DeepSeek V4 Flash 0731 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for LFM2.5-2.6B (free) and $0.08 for DeepSeek V4 Flash 0731.
Choose LFM2.5-2.6B (free) when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V4 Flash 0731 when you care most about larger context window.
| Feature | LFM2.5-2.6B (free) (LiquidAI) | 🔥DeepSeek V4 Flash 0731 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.04 |
| Completion Price per 1M tokens | $0 | $0.08 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.08 |
| Context Window | 65.54K | 1.31M |
| Release Date | 2026-08-11 | 2026-07-31 |
| Popularity | #4 |
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-2.6B (free) | On the standard 1M input plus 500K output workload, LFM2.5-2.6B (free) is estimated at $0 vs $0.08 for DeepSeek V4 Flash 0731, saving $0.08 (100% lower). |
| High-volume input processing | LFM2.5-2.6B (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | LFM2.5-2.6B (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash 0731 | A larger context window leaves more room for retrieved passages and source files. |