Flint (free) is free for input tokens while LFM2.5-24B-A2B costs $0.05 per 1M tokens.
API cost decision in 10 seconds
NewFlint (free) vs NewLFM2.5-24B-A2B
Pick Flint (free) when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Flint (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Flint (free) is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower).
Cost-first pickFlint (free)
Context-first pickFlint (free)
Sample savings$0.4100%
10x traffic gap$4
Flint (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Flint (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Flint (free) | LFM2.5-24B-A2B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Flint (free) | $0 | $0.6 |
| Balanced workload | 1M input + 1M output | Flint (free) | $0 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | Flint (free) | $0 | $3.55 |
Flint (free) is free for output tokens while LFM2.5-24B-A2B costs $0.7 per 1M tokens.
Flint (free) has 134.14K more context (2.05x larger).
Flint (free) is free for the standard workload while the other model is estimated at $0.4.
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
Flint (free) has the lower input price; Flint (free) has the lower output price; Flint (free) offers the larger context window. For the 1M input plus 500K output sample, Flint (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Flint (free) and $0.4 for LFM2.5-24B-A2B.
Choose Flint (free) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose LFM2.5-24B-A2B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Flint (free) is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower).
- Flint (free) is free for the standard workload while the other model is estimated at $0.4.
- Flint (free) is free for input tokens while LFM2.5-24B-A2B costs $0.05 per 1M tokens.
- Flint (free) is free for output tokens while LFM2.5-24B-A2B costs $0.7 per 1M tokens.
- Flint (free) has 134.14K more context (2.05x larger).
| Feature | NewFlint (free) (Recursive) | NewLFM2.5-24B-A2B (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.05 |
| Completion Price per 1M tokens | $0 | $0.7 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.4 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Flint (free) | On the standard 1M input plus 500K output workload, Flint (free) is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower). |
| High-volume input processing | Flint (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Flint (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Flint (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM2.5-2.6B (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.
- LFM2-24B-A2B can replace LFM2.5-24B-A2B when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
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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.
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Open provider hubsRecursive catalog
Review all tracked Recursive models before deciding whether this matchup is the right shortlist.
Open Recursive modelsLiquidAI catalog
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