API cost decision in 10 seconds

NewHy4 vs Summarize

Pick Summarize for lower cost; pick Hy4 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 Summarize for lower cost; pick Hy4 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $1.04 for Hy4, saving $1 (96.2% lower).

Cost-first pickSummarize
Context-first pickHy4
Sample savings$196.2%
10x traffic gap$10.02

Hy4 has more context, but Summarize saves $1 on the standard workload. At 10x that traffic, the same price gap is about $10.02. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Summarize stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickHy4Summarize
Input-heavy / RAG5M input + 500K outputSummarize$2.71$0.2
Balanced workload1M input + 1M outputSummarize$1.67$0.04
Output-heavy chatbot1M input + 5M outputSummarize$6.67$0.04
Cheaper input Summarize $0.417 vs $0.04 / 1M

Summarize is $0.38 cheaper per 1M input tokens (90.4% lower; 10.4x difference).

Cheaper output Summarize $1.2505 vs $0 / 1M

Summarize is free for output tokens while Hy4 costs $1.25 per 1M tokens.

Larger context Hy4 1.05M vs 1M

Hy4 has 48.58K more context (1.05x larger).

Sample workload Summarize $1.04 vs $0.04

Summarize is $1 cheaper on the standard workload (96.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy4 Calculating… Estimated API cost
Summarize 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

Summarize has the lower input price; Summarize has the lower output price; Hy4 offers the larger context window. For the 1M input plus 500K output sample, Summarize is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Hy4 and $0.04 for Summarize.

Best Fit

Choose Hy4 when you care most about larger context window.

Choose Summarize 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, Summarize is estimated at $0.04 vs $1.04 for Hy4, saving $1 (96.2% lower).
  • Summarize is $1 cheaper on the standard workload (96.2% lower).
  • Summarize is $0.38 cheaper per 1M input tokens (90.4% lower; 10.4x difference).
  • Summarize is free for output tokens while Hy4 costs $1.25 per 1M tokens.
  • Hy4 has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewHy4
(Tencent)		Summarize
(ScaleDown)
Input Price
prompt tokens per 1M		$0.417$0.04
Completion Price
per 1M tokens		$1.2505$0
Sample Workload Cost
1M input + 500K output		$1.04$0.04
Context Window1.05M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSummarizeOn the standard 1M input plus 500K output workload, Summarize is estimated at $0.04 vs $1.04 for Hy4, saving $1 (96.2% lower).
High-volume input processingSummarizeLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsSummarizeLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workHy4A 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 Hy4 when lower sample workload cost matters most: $0.
  • Hy-MT2-1.8B can replace Hy4 when lower sample workload cost matters most: $0.13.
  • Hy-MT2-30B-A3B can replace Hy4 when lower sample workload cost matters most: $0.22.
  • Hy-MT2-7B can replace Hy4 when lower sample workload cost matters most: $0.22.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-5.6 Luna offers 1.05M context with $0.8 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

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.

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Tencent catalog

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

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ScaleDown catalog

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

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Hy4

The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...

Summarize

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...