API cost decision in 10 seconds

LFM2-24B-A2B vs Kimi K2.5

Pick LFM2-24B-A2B for lower cost; pick Kimi K2.5 only if the larger context window matters more.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T13:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2-24B-A2B for lower cost; pick Kimi K2.5 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $1.35 for Kimi K2.5, saving $1.26 (93.3% lower).

Cost-first pickLFM2-24B-A2B

Context-first pickKimi K2.5

Sample savings$1.2693.3%

10x traffic gap$12.6

Kimi K2.5 has more context, but LFM2-24B-A2B saves $1.26 on the standard workload. At 10x that traffic, the same price gap is about $12.6. 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	Kimi K2.5
Input-heavy / RAG	5M input + 500K output	LFM2-24B-A2B	$0.21	$2.95
Balanced workload	1M input + 1M output	LFM2-24B-A2B	$0.15	$2.3
Output-heavy chatbot	1M input + 5M output	LFM2-24B-A2B	$0.63	$9.9

Cheaper input LFM2-24B-A2B $0.03 vs $0.4 / 1M

LFM2-24B-A2B is $0.37 cheaper per 1M input tokens (92.5% lower; 13.3x difference).

Cheaper output LFM2-24B-A2B $0.12 vs $1.9 / 1M

LFM2-24B-A2B is $1.78 cheaper per 1M output tokens (93.7% lower; 15.8x difference).

Larger context Kimi K2.5 128K vs 262.14K

Kimi K2.5 has 134.14K more context (2.05x larger).

Sample workload LFM2-24B-A2B $0.09 vs $1.35

LFM2-24B-A2B is $1.26 cheaper on the standard workload (93.3% 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

Kimi K2.5 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; Kimi K2.5 offers the larger 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 $1.35 for Kimi K2.5.

Best Fit

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

Choose Kimi K2.5 when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $1.35 for Kimi K2.5, saving $1.26 (93.3% lower).
LFM2-24B-A2B is $1.26 cheaper on the standard workload (93.3% lower).
LFM2-24B-A2B is $0.37 cheaper per 1M input tokens (92.5% lower; 13.3x difference).
LFM2-24B-A2B is $1.78 cheaper per 1M output tokens (93.7% lower; 15.8x difference).
Kimi K2.5 has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	LFM2-24B-A2B (LiquidAI)	Kimi K2.5 (MoonshotAI)
Input Price prompt tokens per 1M	$0.03	$0.4
Completion Price per 1M tokens	$0.12	$1.9
Sample Workload Cost 1M input + 500K output	$0.09	$1.35
Context Window	128K	262.14K
Release Date	2026-02-25	2026-01-27

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 $1.35 for Kimi K2.5, saving $1.26 (93.3% 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	Kimi K2.5	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.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

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Provider catalogs

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LiquidAI catalog

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MoonshotAI 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...

Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...