Claude Haiku 5.5 (batch) is $0.03 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
API cost decision in 10 seconds
NewLFM3-1.7B vs Claude Haiku 5.5 (batch)
Pick Claude Haiku 5.5 (batch) 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 Claude Haiku 5.5 (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower).
Cost-first pickClaude Haiku 5.5 (batch)
Context-first pickClaude Haiku 5.5 (batch)
Sample savings$0.0052.8%
10x traffic gap$0.05
Claude Haiku 5.5 (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Claude Haiku 5.5 (batch), balanced workload favors LFM3-1.7B, and output-heavy chatbot favors LFM3-1.7B.
| Workload shape | Token mix | Better pick | LFM3-1.7B | Claude Haiku 5.5 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Claude Haiku 5.5 (batch) | $0.5 | $0.38 |
| Balanced workload | 1M input + 1M output | LFM3-1.7B | $0.28 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | LFM3-1.7B | $1.08 | $1.3 |
LFM3-1.7B is $0.05 cheaper per 1M output tokens (20% lower; 1.25x difference).
Claude Haiku 5.5 (batch) has 737.86K more context (3.81x larger).
Claude Haiku 5.5 (batch) is $0.005 cheaper on the standard workload (2.8% 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
Claude Haiku 5.5 (batch) has the lower input price; LFM3-1.7B has the lower output price; Claude Haiku 5.5 (batch) offers the larger context window. For the 1M input plus 500K output sample, Claude Haiku 5.5 (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.18 for LFM3-1.7B and $0.17 for Claude Haiku 5.5 (batch).
Choose LFM3-1.7B when you care most about lower output-token price.
Choose Claude Haiku 5.5 (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower).
- Claude Haiku 5.5 (batch) is $0.005 cheaper on the standard workload (2.8% lower).
- Claude Haiku 5.5 (batch) is $0.03 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
- LFM3-1.7B is $0.05 cheaper per 1M output tokens (20% lower; 1.25x difference).
- Claude Haiku 5.5 (batch) has 737.86K more context (3.81x larger).
| Feature | NewLFM3-1.7B (LiquidAI) | Claude Haiku 5.5 (batch) (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.05 |
| Completion Price per 1M tokens | $0.2 | $0.25 |
| Sample Workload Cost 1M input + 500K output | $0.18 | $0.17 |
| Context Window | 262.14K | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Claude Haiku 5.5 (batch) | On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower). |
| High-volume input processing | Claude Haiku 5.5 (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM3-1.7B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Claude Haiku 5.5 (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM3-1.7B (free) can replace LFM3-1.7B when lower sample workload cost matters most: $0.
- LFM2.5-2.6B (free) can replace LFM3-1.7B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM3-1.7B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM3-1.7B when lower sample workload cost matters most: $0.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Crouton Alpha offers 1.05M context with $0 sample workload cost.
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