API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs Ox Alpha

Pick Ox Alpha when budget and context both matter.

Page updated: 2026-10-13T20:10:44Z Data confirmed: 2026-10-15T01:07:46Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ox Alpha when budget and context both matter.

On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower).

Cost-first pickOx Alpha

Context-first pickOx Alpha

Sample savings$0.4100%

10x traffic gap$4

Ox Alpha is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ox Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	LFM2.5-24B-A2B	Ox Alpha
Input-heavy / RAG	5M input + 500K output	Ox Alpha	$0.6	$0
Balanced workload	1M input + 1M output	Ox Alpha	$0.75	$0
Output-heavy chatbot	1M input + 5M output	Ox Alpha	$3.55	$0

Cheaper input Ox Alpha $0.05 vs $0 / 1M

Ox Alpha is free for input tokens while LFM2.5-24B-A2B costs $0.05 per 1M tokens.

Cheaper output Ox Alpha $0.7 vs $0 / 1M

Ox Alpha is free for output tokens while LFM2.5-24B-A2B costs $0.7 per 1M tokens.

Larger context Ox Alpha 128K vs 1.05M

Ox Alpha has 920.58K more context (8.19x larger).

Sample workload Ox Alpha $0.4 vs $0

Ox Alpha is free for the standard workload while the other model is estimated at $0.4.

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

Ox Alpha 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

Ox Alpha has the lower input price; Ox Alpha has the lower output price; Ox Alpha offers the larger context window. For the 1M input plus 500K output sample, Ox Alpha 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 for Ox Alpha.

Best Fit

Choose LFM2.5-24B-A2B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Ox Alpha when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower).
Ox Alpha is free for the standard workload while the other model is estimated at $0.4.
Ox Alpha is free for input tokens while LFM2.5-24B-A2B costs $0.05 per 1M tokens.
Ox Alpha is free for output tokens while LFM2.5-24B-A2B costs $0.7 per 1M tokens.
Ox Alpha has 920.58K more context (8.19x larger).

Head-to-Head Specs

Feature	NewLFM2.5-24B-A2B (LiquidAI)	Ox Alpha (stealth)
Input Price prompt tokens per 1M	$0.05	$0
Completion Price per 1M tokens	$0.7	$0
Sample Workload Cost 1M input + 500K output	$0.4	$0
Context Window	128K	1.05M
Release Date	2026-10-13	2026-08-20

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ox Alpha	On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.4 for LFM2.5-24B-A2B, saving $0.4 (100% lower).
High-volume input processing	Ox Alpha	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ox Alpha	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Ox Alpha	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.
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

DeepSeek V4.1 Flash · DeepSeek · #1
Step 5 Preview · StepFun · #2
GLM 5.3 Flash · Z.ai · #3
MiMo-V2.6-Flash · Xiaomi · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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LiquidAI catalog

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

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stealth 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...

Ox Alpha

Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...