API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs Hy-MT2-1.8B

Pick Hy-MT2-1.8B for lower cost; pick LFM2.5-24B-A2B only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Hy-MT2-1.8B for lower cost; pick LFM2.5-24B-A2B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.4 for LFM2.5-24B-A2B, saving $0.27 (66.9% lower).

Cost-first pickHy-MT2-1.8B
Context-first pickLFM2.5-24B-A2B
Sample savings$0.2766.9%
10x traffic gap$2.67

LFM2.5-24B-A2B has more context, but Hy-MT2-1.8B saves $0.27 on the standard workload. At 10x that traffic, the same price gap is about $2.67. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Hy-MT2-1.8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLFM2.5-24B-A2BHy-MT2-1.8B
Input-heavy / RAG5M input + 500K outputHy-MT2-1.8B$0.6$0.31
Balanced workload1M input + 1M outputHy-MT2-1.8B$0.75$0.22
Output-heavy chatbot1M input + 5M outputHy-MT2-1.8B$3.55$0.93
Cheaper input Hy-MT2-1.8B $0.05 vs $0.044 / 1M

Hy-MT2-1.8B is $0.006 cheaper per 1M input tokens (12% lower; 1.14x difference).

Cheaper output Hy-MT2-1.8B $0.7 vs $0.177 / 1M

Hy-MT2-1.8B is $0.52 cheaper per 1M output tokens (74.7% lower; 3.95x difference).

Larger context LFM2.5-24B-A2B 128K vs 8.19K

LFM2.5-24B-A2B has 119.81K more context (15.6x larger).

Sample workload Hy-MT2-1.8B $0.4 vs $0.13

Hy-MT2-1.8B is $0.27 cheaper on the standard workload (66.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
LFM2.5-24B-A2B Calculating… Estimated API cost
Hy-MT2-1.8B 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

Hy-MT2-1.8B has the lower input price; Hy-MT2-1.8B has the lower output price; LFM2.5-24B-A2B offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-1.8B 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 $0.13 for Hy-MT2-1.8B.

Best Fit

Choose LFM2.5-24B-A2B when you care most about larger context window.

Choose Hy-MT2-1.8B when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.4 for LFM2.5-24B-A2B, saving $0.27 (66.9% lower).
  • Hy-MT2-1.8B is $0.27 cheaper on the standard workload (66.9% lower).
  • Hy-MT2-1.8B is $0.006 cheaper per 1M input tokens (12% lower; 1.14x difference).
  • Hy-MT2-1.8B is $0.52 cheaper per 1M output tokens (74.7% lower; 3.95x difference).
  • LFM2.5-24B-A2B has 119.81K more context (15.6x larger).
Head-to-Head Specs
FeatureNewLFM2.5-24B-A2B
(LiquidAI)
Hy-MT2-1.8B
(Tencent)
Input Price
prompt tokens per 1M
$0.05$0.044
Completion Price
per 1M tokens
$0.7$0.177
Sample Workload Cost
1M input + 500K output
$0.4$0.13
Context Window128K8.19K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionHy-MT2-1.8BOn the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.4 for LFM2.5-24B-A2B, saving $0.27 (66.9% lower).
High-volume input processingHy-MT2-1.8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsHy-MT2-1.8BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLFM2.5-24B-A2BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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LiquidAI catalog

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Tencent 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...

Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...