API cost decision in 10 seconds

NewHy-MT2-1.8B vs GPT-5.6 Luna Pro

Pick Hy-MT2-1.8B for lower cost; pick GPT-5.6 Luna Pro 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 GPT-5.6 Luna Pro 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 $0.8 for GPT-5.6 Luna Pro, saving $0.67 (83.4% lower).

Cost-first pickHy-MT2-1.8B
Context-first pickGPT-5.6 Luna Pro
Sample savings$0.6783.4%
10x traffic gap$6.67

GPT-5.6 Luna Pro has more context, but Hy-MT2-1.8B saves $0.67 on the standard workload. At 10x that traffic, the same price gap is about $6.67. 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 pickHy-MT2-1.8BGPT-5.6 Luna Pro
Input-heavy / RAG5M input + 500K outputHy-MT2-1.8B$0.31$1.6
Balanced workload1M input + 1M outputHy-MT2-1.8B$0.22$1.4
Output-heavy chatbot1M input + 5M outputHy-MT2-1.8B$0.93$6.2
Cheaper input Hy-MT2-1.8B $0.044 vs $0.2 / 1M

Hy-MT2-1.8B is $0.16 cheaper per 1M input tokens (78% lower; 4.55x difference).

Cheaper output Hy-MT2-1.8B $0.177 vs $1.2 / 1M

Hy-MT2-1.8B is $1.02 cheaper per 1M output tokens (85.2% lower; 6.78x difference).

Larger context GPT-5.6 Luna Pro 8.19K vs 1.05M

GPT-5.6 Luna Pro has 1.04M more context (128.2x larger).

Sample workload Hy-MT2-1.8B $0.13 vs $0.8

Hy-MT2-1.8B is $0.67 cheaper on the standard workload (83.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy-MT2-1.8B Calculating… Estimated API cost
GPT-5.6 Luna Pro 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; GPT-5.6 Luna Pro 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 $0.13 for Hy-MT2-1.8B and $0.8 for GPT-5.6 Luna Pro.

Best Fit

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

Choose GPT-5.6 Luna Pro when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.8 for GPT-5.6 Luna Pro, saving $0.67 (83.4% lower).
  • Hy-MT2-1.8B is $0.67 cheaper on the standard workload (83.4% lower).
  • Hy-MT2-1.8B is $0.16 cheaper per 1M input tokens (78% lower; 4.55x difference).
  • Hy-MT2-1.8B is $1.02 cheaper per 1M output tokens (85.2% lower; 6.78x difference).
  • GPT-5.6 Luna Pro has 1.04M more context (128.2x larger).
Head-to-Head Specs
FeatureNewHy-MT2-1.8B
(Tencent)		GPT-5.6 Luna Pro
(OpenAI)
Input Price
prompt tokens per 1M		$0.044$0.2
Completion Price
per 1M tokens		$0.177$1.2
Sample Workload Cost
1M input + 500K output		$0.13$0.8
Context Window8.19K1.05M
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 $0.8 for GPT-5.6 Luna Pro, saving $0.67 (83.4% 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 workGPT-5.6 Luna ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Hy3 (free) can replace Hy-MT2-1.8B when lower sample workload cost matters most: $0.
  • gpt-oss-120b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.1.

Cheaper alternatives

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

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Larger context alternatives

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

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Provider catalogs

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Tencent catalog

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

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OpenAI catalog

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

Open OpenAI models
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...

GPT-5.6 Luna Pro

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode