API cost decision in 10 seconds

🔥GPT-6 Luna vs NewLFM3-1.7B

Pick LFM3-1.7B for lower cost; pick GPT-6 Luna only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM3-1.7B for lower cost; pick GPT-6 Luna only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM3-1.7B is estimated at $0.18 vs $0.35 for GPT-6 Luna, saving $0.17 (48.6% lower).

Cost-first pickLFM3-1.7B
Context-first pickGPT-6 Luna
Sample savings$0.1748.6%
10x traffic gap$1.7

GPT-6 Luna has more context, but LFM3-1.7B saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM3-1.7B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-6 LunaLFM3-1.7B
Input-heavy / RAG5M input + 500K outputLFM3-1.7B$0.75$0.5
Balanced workload1M input + 1M outputLFM3-1.7B$0.6$0.28
Output-heavy chatbot1M input + 5M outputLFM3-1.7B$2.6$1.08
Cheaper input LFM3-1.7B $0.1 vs $0.08 / 1M

LFM3-1.7B is $0.02 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output LFM3-1.7B $0.5 vs $0.2 / 1M

LFM3-1.7B is $0.3 cheaper per 1M output tokens (60% lower; 2.5x difference).

Larger context GPT-6 Luna 1.05M vs 262.14K

GPT-6 Luna has 787.86K more context (4.01x larger).

Sample workload LFM3-1.7B $0.35 vs $0.18

LFM3-1.7B is $0.17 cheaper on the standard workload (48.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-6 Luna Calculating… Estimated API cost
LFM3-1.7B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

LFM3-1.7B has the lower input price; LFM3-1.7B has the lower output price; GPT-6 Luna offers the larger context window. For the 1M input plus 500K output sample, LFM3-1.7B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.35 for GPT-6 Luna and $0.18 for LFM3-1.7B.

Best Fit

Choose GPT-6 Luna when you care most about larger context window.

Choose LFM3-1.7B when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, LFM3-1.7B is estimated at $0.18 vs $0.35 for GPT-6 Luna, saving $0.17 (48.6% lower).
  • LFM3-1.7B is $0.17 cheaper on the standard workload (48.6% lower).
  • LFM3-1.7B is $0.02 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • LFM3-1.7B is $0.3 cheaper per 1M output tokens (60% lower; 2.5x difference).
  • GPT-6 Luna has 787.86K more context (4.01x larger).
Head-to-Head Specs
Feature🔥GPT-6 Luna
(OpenAI)		NewLFM3-1.7B
(LiquidAI)
Input Price
prompt tokens per 1M		$0.1$0.08
Completion Price
per 1M tokens		$0.5$0.2
Sample Workload Cost
1M input + 500K output		$0.35$0.18
Context Window1.05M262.14K
Release Date
Popularity#5

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLFM3-1.7BOn the standard 1M input plus 500K output workload, LFM3-1.7B is estimated at $0.18 vs $0.35 for GPT-6 Luna, saving $0.17 (48.6% lower).
High-volume input processingLFM3-1.7BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLFM3-1.7BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-6 LunaA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
  • gpt-oss-120b can replace GPT-6 Luna when lower sample workload cost matters most: $0.04.
  • gpt-oss-20b (batch) can replace GPT-6 Luna when lower sample workload cost matters most: $0.08.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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OpenAI catalog

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LiquidAI catalog

Check other LiquidAI models with comparable pricing, context, or release timing.

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GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

LFM3-1.7B

A 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...