API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs Ling 3.0 Flash VL

Pick Ling 3.0 Flash VL 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 Ling 3.0 Flash VL when budget and context both matter.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.4 for LFM2.5-24B-A2B, saving $0.25 (62.5% lower).

Cost-first pickLing 3.0 Flash VL

Context-first pickLing 3.0 Flash VL

Sample savings$0.2562.5%

10x traffic gap$2.5

Ling 3.0 Flash VL is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling 3.0 Flash VL stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	LFM2.5-24B-A2B	Ling 3.0 Flash VL
Input-heavy / RAG	5M input + 500K output	Ling 3.0 Flash VL	$0.6	$0.39
Balanced workload	1M input + 1M output	Ling 3.0 Flash VL	$0.75	$0.24
Output-heavy chatbot	1M input + 5M output	Ling 3.0 Flash VL	$3.55	$0.96

Cheaper input LFM2.5-24B-A2B $0.05 vs $0.06 / 1M

LFM2.5-24B-A2B is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).

Cheaper output Ling 3.0 Flash VL $0.7 vs $0.18 / 1M

Ling 3.0 Flash VL is $0.52 cheaper per 1M output tokens (74.3% lower; 3.89x difference).

Larger context Ling 3.0 Flash VL 128K vs 131.07K

Ling 3.0 Flash VL has 3.07K more context (1.02x larger).

Sample workload Ling 3.0 Flash VL $0.4 vs $0.15

Ling 3.0 Flash VL is $0.25 cheaper on the standard workload (62.5% 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

Ling 3.0 Flash VL 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; Ling 3.0 Flash VL has the lower output price; Ling 3.0 Flash VL offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash VL 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 $0.15 for Ling 3.0 Flash VL.

Best Fit

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

Choose Ling 3.0 Flash VL when you care most about lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.4 for LFM2.5-24B-A2B, saving $0.25 (62.5% lower).
Ling 3.0 Flash VL is $0.25 cheaper on the standard workload (62.5% lower).
LFM2.5-24B-A2B is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
Ling 3.0 Flash VL is $0.52 cheaper per 1M output tokens (74.3% lower; 3.89x difference).
Ling 3.0 Flash VL has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	NewLFM2.5-24B-A2B (LiquidAI)	Ling 3.0 Flash VL (inclusionAI)
Input Price prompt tokens per 1M	$0.05	$0.06
Completion Price per 1M tokens	$0.7	$0.18
Sample Workload Cost 1M input + 500K output	$0.4	$0.15
Context Window	128K	131.07K
Release Date	2026-10-13	2026-09-10

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ling 3.0 Flash VL	On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.4 for LFM2.5-24B-A2B, saving $0.25 (62.5% 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	Ling 3.0 Flash VL	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Ling 3.0 Flash VL	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

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

inclusionAI catalog

Check other inclusionAI models with comparable pricing, context, or release timing.

Open inclusionAI 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...

Ling 3.0 Flash VL

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...