API cost decision in 10 seconds

🔥Hy3 vs GPT-5.6 Luna Pro (batch)

Pick Hy3 for lower cost; pick GPT-5.6 Luna Pro (batch) 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 Hy3 for lower cost; pick GPT-5.6 Luna Pro (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.004 (1% lower).

Cost-first pickHy3
Context-first pickGPT-5.6 Luna Pro (batch)
Sample savings$0.0041%
10x traffic gap$0.04

GPT-5.6 Luna Pro (batch) has more context, but Hy3 saves $0.004 on the standard workload. At 10x that traffic, the same price gap is about $0.04. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Luna Pro (batch), balanced workload favors Hy3, and output-heavy chatbot favors Hy3.

Workload shapeToken mixBetter pickHy3GPT-5.6 Luna Pro (batch)
Input-heavy / RAG5M input + 500K outputGPT-5.6 Luna Pro (batch)$0.92$0.8
Balanced workload1M input + 1M outputHy3$0.66$0.7
Output-heavy chatbot1M input + 5M outputHy3$2.77$3.1
Cheaper input GPT-5.6 Luna Pro (batch) $0.132 vs $0.1 / 1M

GPT-5.6 Luna Pro (batch) is $0.03 cheaper per 1M input tokens (24.2% lower; 1.32x difference).

Cheaper output Hy3 $0.528 vs $0.6 / 1M

Hy3 is $0.07 cheaper per 1M output tokens (12% lower; 1.14x difference).

Larger context GPT-5.6 Luna Pro (batch) 262.14K vs 1.05M

GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).

Sample workload Hy3 $0.4 vs $0.4

Hy3 is $0.004 cheaper on the standard workload (1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy3 Calculating… Estimated API cost
GPT-5.6 Luna Pro (batch) 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

GPT-5.6 Luna Pro (batch) has the lower input price; Hy3 has the lower output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, Hy3 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Hy3 and $0.4 for GPT-5.6 Luna Pro (batch).

Best Fit

Choose Hy3 when you care most about lower output-token price.

Choose GPT-5.6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.004 (1% lower).
  • Hy3 is $0.004 cheaper on the standard workload (1% lower).
  • GPT-5.6 Luna Pro (batch) is $0.03 cheaper per 1M input tokens (24.2% lower; 1.32x difference).
  • Hy3 is $0.07 cheaper per 1M output tokens (12% lower; 1.14x difference).
  • GPT-5.6 Luna Pro (batch) has 787.86K more context (4.01x larger).
Head-to-Head Specs
Feature🔥Hy3
(Tencent)		GPT-5.6 Luna Pro (batch)
(OpenAI)
Input Price
prompt tokens per 1M		$0.132$0.1
Completion Price
per 1M tokens		$0.528$0.6
Sample Workload Cost
1M input + 500K output		$0.4$0.4
Context Window262.14K1.05M
Release Date
Popularity#3

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionHy3On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.4 for GPT-5.6 Luna Pro (batch), saving $0.004 (1% lower).
High-volume input processingGPT-5.6 Luna Pro (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsHy3Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Luna Pro (batch)A 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 Hy3 when lower sample workload cost matters most: $0.
  • Hy-MT2-1.8B can replace Hy3 when lower sample workload cost matters most: $0.13.
  • Hy-MT2-30B-A3B can replace Hy3 when lower sample workload cost matters most: $0.22.
  • Hy-MT2-7B can replace Hy3 when lower sample workload cost matters most: $0.22.

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.

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Hy3

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

GPT-5.6 Luna Pro (batch)

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