API cost decision in 10 seconds

NewMuse Spark 1.2 Contributor vs NewHy-MT2-1.8B

Pick Hy-MT2-1.8B for lower cost; pick Muse Spark 1.2 Contributor 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 Muse Spark 1.2 Contributor 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 $0.2 for Muse Spark 1.2 Contributor, saving $0.07 (33.8% lower).

Cost-first pickHy-MT2-1.8B
Context-first pickMuse Spark 1.2 Contributor
Sample savings$0.0733.8%
10x traffic gap$0.68

Muse Spark 1.2 Contributor has more context, but Hy-MT2-1.8B saves $0.07 on the standard workload. At 10x that traffic, the same price gap is about $0.68. 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 pickMuse Spark 1.2 ContributorHy-MT2-1.8B
Input-heavy / RAG5M input + 500K outputHy-MT2-1.8B$0.6$0.31
Balanced workload1M input + 1M outputHy-MT2-1.8B$0.3$0.22
Output-heavy chatbot1M input + 5M outputHy-MT2-1.8B$1.1$0.93
Cheaper input Hy-MT2-1.8B $0.1 vs $0.044 / 1M

Hy-MT2-1.8B is $0.06 cheaper per 1M input tokens (56% lower; 2.27x difference).

Cheaper output Hy-MT2-1.8B $0.2 vs $0.177 / 1M

Hy-MT2-1.8B is $0.02 cheaper per 1M output tokens (11.5% lower; 1.13x difference).

Larger context Muse Spark 1.2 Contributor 1.05M vs 8.19K

Muse Spark 1.2 Contributor has 1.04M more context (128x larger).

Sample workload Hy-MT2-1.8B $0.2 vs $0.13

Hy-MT2-1.8B is $0.07 cheaper on the standard workload (33.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Spark 1.2 Contributor 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; Muse Spark 1.2 Contributor 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 $0.2 for Muse Spark 1.2 Contributor and $0.13 for Hy-MT2-1.8B.

Best Fit

Choose Muse Spark 1.2 Contributor 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 $0.2 for Muse Spark 1.2 Contributor, saving $0.07 (33.8% lower).
  • Hy-MT2-1.8B is $0.07 cheaper on the standard workload (33.8% lower).
  • Hy-MT2-1.8B is $0.06 cheaper per 1M input tokens (56% lower; 2.27x difference).
  • Hy-MT2-1.8B is $0.02 cheaper per 1M output tokens (11.5% lower; 1.13x difference).
  • Muse Spark 1.2 Contributor has 1.04M more context (128x larger).
Head-to-Head Specs
FeatureNewMuse Spark 1.2 Contributor
(Meta)
NewHy-MT2-1.8B
(Tencent)
Input Price
prompt tokens per 1M
$0.1$0.044
Completion Price
per 1M tokens
$0.2$0.177
Sample Workload Cost
1M input + 500K output
$0.2$0.13
Context Window1.05M8.19K
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 $0.2 for Muse Spark 1.2 Contributor, saving $0.07 (33.8% 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 workMuse Spark 1.2 ContributorA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Meta catalog

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Tencent catalog

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