GPT-6 Luna Pro (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 GPT-6 Luna Pro (batch)
Pick GPT-6 Luna Pro (batch) when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-6 Luna Pro (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower).
Cost-first pickGPT-6 Luna Pro (batch)
Context-first pickGPT-6 Luna Pro (batch)
Sample savings$0.0052.8%
10x traffic gap$0.05
GPT-6 Luna Pro (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 GPT-6 Luna Pro (batch), balanced workload favors LFM3-1.7B, and output-heavy chatbot favors LFM3-1.7B.
| Workload shape | Token mix | Better pick | LFM3-1.7B | GPT-6 Luna Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna Pro (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).
GPT-6 Luna Pro (batch) has 787.86K more context (4.01x larger).
GPT-6 Luna Pro (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
GPT-6 Luna Pro (batch) has the lower input price; LFM3-1.7B has the lower output price; GPT-6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna Pro (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 GPT-6 Luna Pro (batch).
Choose LFM3-1.7B when you care most about lower output-token price.
Choose GPT-6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower).
- GPT-6 Luna Pro (batch) is $0.005 cheaper on the standard workload (2.8% lower).
- GPT-6 Luna Pro (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).
- GPT-6 Luna Pro (batch) has 787.86K more context (4.01x larger).
| Feature | NewLFM3-1.7B (LiquidAI) | GPT-6 Luna Pro (batch) (OpenAI) |
|---|---|---|
| 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 | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-6 Luna Pro (batch) | On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.18 for LFM3-1.7B, saving $0.005 (2.8% lower). |
| High-volume input processing | GPT-6 Luna Pro (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 | GPT-6 Luna Pro (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.
- No larger-context model is currently tracked within a close sample-cost band.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
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Open OpenAI modelsA compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...
GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...