API cost decision in 10 seconds

LFM2-24B-A2B vs GPT-5.2 Chat

Pick LFM2-24B-A2B when budget is the priority.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T12:43:06Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2-24B-A2B when budget is the priority.

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8.75 for GPT-5.2 Chat, saving $8.66 (99% lower).

Cost-first pickLFM2-24B-A2B

Context-first pickBoth models

Sample savings$8.6699%

10x traffic gap$86.6

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $86.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	LFM2-24B-A2B	GPT-5.2 Chat
Input-heavy / RAG	5M input + 500K output	LFM2-24B-A2B	$0.21	$15.75
Balanced workload	1M input + 1M output	LFM2-24B-A2B	$0.15	$15.75
Output-heavy chatbot	1M input + 5M output	LFM2-24B-A2B	$0.63	$71.75

Cheaper input LFM2-24B-A2B $0.03 vs $1.75 / 1M

LFM2-24B-A2B is $1.72 cheaper per 1M input tokens (98.3% lower; 58.3x difference).

Cheaper output LFM2-24B-A2B $0.12 vs $14 / 1M

LFM2-24B-A2B is $13.88 cheaper per 1M output tokens (99.1% lower; 116.7x difference).

Larger context Tie 128K vs 128K

Both models report the same context window at 128K tokens.

Sample workload LFM2-24B-A2B $0.09 vs $8.75

LFM2-24B-A2B is $8.66 cheaper on the standard workload (99% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

LFM2-24B-A2B Calculating… Estimated API cost

GPT-5.2 Chat 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

LFM2-24B-A2B has the lower input price; LFM2-24B-A2B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, LFM2-24B-A2B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.09 for LFM2-24B-A2B and $8.75 for GPT-5.2 Chat.

Best Fit

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

Choose GPT-5.2 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8.75 for GPT-5.2 Chat, saving $8.66 (99% lower).
LFM2-24B-A2B is $8.66 cheaper on the standard workload (99% lower).
LFM2-24B-A2B is $1.72 cheaper per 1M input tokens (98.3% lower; 58.3x difference).
LFM2-24B-A2B is $13.88 cheaper per 1M output tokens (99.1% lower; 116.7x difference).
Both models report the same context window at 128K tokens.

Head-to-Head Specs

Feature	LFM2-24B-A2B (LiquidAI)	GPT-5.2 Chat (OpenAI)
Input Price prompt tokens per 1M	$0.03	$1.75
Completion Price per 1M tokens	$0.12	$14
Sample Workload Cost 1M input + 500K output	$0.09	$8.75
Context Window	128K	128K
Release Date	2026-02-25	2025-12-10

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	LFM2-24B-A2B	On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8.75 for GPT-5.2 Chat, saving $8.66 (99% lower).
High-volume input processing	LFM2-24B-A2B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	LFM2-24B-A2B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

LFM2.5-1.2B-Thinking (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
LFM2.5-1.2B-Instruct (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
gpt-oss-120b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
GPT-5.4 offers 1.05M context with $10 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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LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...

GPT-5.2 Chat

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...