API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs GPT-6 Luna Pro

Pick GPT-6 Luna Pro when budget and context both matter.

Page updated: 2026-10-13T20:10:44Z Data confirmed: 2026-10-15T02:07:54Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-6 Luna Pro when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.4 for LFM2.5-24B-A2B, saving $0.05 (12.5% lower).

Cost-first pickGPT-6 Luna Pro

Context-first pickGPT-6 Luna Pro

Sample savings$0.0512.5%

10x traffic gap$0.5

GPT-6 Luna Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors LFM2.5-24B-A2B, balanced workload favors GPT-6 Luna Pro, and output-heavy chatbot favors GPT-6 Luna Pro.

Workload shape	Token mix	Better pick	LFM2.5-24B-A2B	GPT-6 Luna Pro
Input-heavy / RAG	5M input + 500K output	LFM2.5-24B-A2B	$0.6	$0.75
Balanced workload	1M input + 1M output	GPT-6 Luna Pro	$0.75	$0.6
Output-heavy chatbot	1M input + 5M output	GPT-6 Luna Pro	$3.55	$2.6

Cheaper input LFM2.5-24B-A2B $0.05 vs $0.1 / 1M

LFM2.5-24B-A2B is $0.05 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output GPT-6 Luna Pro $0.7 vs $0.5 / 1M

GPT-6 Luna Pro is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context GPT-6 Luna Pro 128K vs 1.05M

GPT-6 Luna Pro has 922K more context (8.2x larger).

Sample workload GPT-6 Luna Pro $0.4 vs $0.35

GPT-6 Luna Pro is $0.05 cheaper on the standard workload (12.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

LFM2.5-24B-A2B Calculating… Estimated API cost

GPT-6 Luna Pro 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

LFM2.5-24B-A2B has the lower input price; GPT-6 Luna Pro has the lower output price; GPT-6 Luna Pro offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna Pro is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for LFM2.5-24B-A2B and $0.35 for GPT-6 Luna Pro.

Best Fit

Choose LFM2.5-24B-A2B when you care most about lower input-token price.

Choose GPT-6 Luna Pro when you care most about lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.4 for LFM2.5-24B-A2B, saving $0.05 (12.5% lower).
GPT-6 Luna Pro is $0.05 cheaper on the standard workload (12.5% lower).
LFM2.5-24B-A2B is $0.05 cheaper per 1M input tokens (50% lower; 2x difference).
GPT-6 Luna Pro is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
GPT-6 Luna Pro has 922K more context (8.2x larger).

Head-to-Head Specs

Feature	NewLFM2.5-24B-A2B (LiquidAI)	GPT-6 Luna Pro (OpenAI)
Input Price prompt tokens per 1M	$0.05	$0.1
Completion Price per 1M tokens	$0.7	$0.5
Sample Workload Cost 1M input + 500K output	$0.4	$0.35
Context Window	128K	1.05M
Release Date	2026-10-13	2026-09-22

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-6 Luna Pro	On the standard 1M input plus 500K output workload, GPT-6 Luna Pro is estimated at $0.35 vs $0.4 for LFM2.5-24B-A2B, saving $0.05 (12.5% lower).
High-volume input processing	LFM2.5-24B-A2B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GPT-6 Luna Pro	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-6 Luna Pro	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

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.

Larger context near this budget

Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.

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Provider catalogs

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LiquidAI catalog

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OpenAI catalog

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LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...

GPT-6 Luna Pro

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...