API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs LFM2.5-2.6B

Pick LFM2.5-24B-A2B when budget is the priority.

Page updated: 2026-10-24T22:08:08Z Data confirmed: 2026-10-25T00:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2.5-24B-A2B when budget is the priority.

On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.6 for LFM2.5-2.6B, saving $0.2 (33.3% lower).

Cost-first pickLFM2.5-24B-A2B

Context-first pickBoth models

Sample savings$0.233.3%

10x traffic gap$2

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $2. 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 LFM2.5-24B-A2B, and output-heavy chatbot favors LFM2.5-2.6B.

Workload shape	Token mix	Better pick	LFM2.5-24B-A2B	LFM2.5-2.6B
Input-heavy / RAG	5M input + 500K output	LFM2.5-24B-A2B	$0.6	$2
Balanced workload	1M input + 1M output	LFM2.5-24B-A2B	$0.75	$0.85
Output-heavy chatbot	1M input + 5M output	LFM2.5-2.6B	$3.55	$2.85

Cheaper input LFM2.5-24B-A2B $0.05 vs $0.35 / 1M

LFM2.5-24B-A2B is $0.3 cheaper per 1M input tokens (85.7% lower; 7x difference).

Cheaper output LFM2.5-2.6B $0.7 vs $0.5 / 1M

LFM2.5-2.6B is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context Tie 128K vs 128K

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

Sample workload LFM2.5-24B-A2B $0.4 vs $0.6

LFM2.5-24B-A2B is $0.2 cheaper on the standard workload (33.3% 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

LFM2.5-2.6B 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; LFM2.5-2.6B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, LFM2.5-24B-A2B 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 $0.6 for LFM2.5-2.6B.

Best Fit

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

Choose LFM2.5-2.6B when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.6 for LFM2.5-2.6B, saving $0.2 (33.3% lower).
LFM2.5-24B-A2B is $0.2 cheaper on the standard workload (33.3% lower).
LFM2.5-24B-A2B is $0.3 cheaper per 1M input tokens (85.7% lower; 7x difference).
LFM2.5-2.6B is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
Both models report the same context window at 128K tokens.

Head-to-Head Specs

Feature	NewLFM2.5-24B-A2B (LiquidAI)	LFM2.5-2.6B (LiquidAI)
Input Price prompt tokens per 1M	$0.05	$0.35
Completion Price per 1M tokens	$0.7	$0.5
Sample Workload Cost 1M input + 500K output	$0.4	$0.6
Context Window	128K	128K
Release Date	2026-10-13	2026-08-11

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	LFM2.5-24B-A2B	On the standard 1M input plus 500K output workload, LFM2.5-24B-A2B is estimated at $0.4 vs $0.6 for LFM2.5-2.6B, saving $0.2 (33.3% 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	LFM2.5-2.6B	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

LFM2.5-2.6B (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 $0.25 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

Popular competitors

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

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

LiquidAI catalog

Review all tracked LiquidAI models before deciding whether this matchup is the right shortlist.

Open LiquidAI models

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...

LFM2.5-2.6B

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...