API cost decision in 10 seconds

NewHy4 vs Perceptron Mk1.5

Pick Perceptron Mk1.5 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 Perceptron Mk1.5 for lower cost; pick Hy4 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $1.04 for Hy4, saving $0.14 (13.6% lower).

Cost-first pickPerceptron Mk1.5
Context-first pickHy4
Sample savings$0.1413.6%
10x traffic gap$1.42

Hy4 has more context, but Perceptron Mk1.5 saves $0.14 on the standard workload. At 10x that traffic, the same price gap is about $1.42. 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 Perceptron Mk1.5, balanced workload favors Perceptron Mk1.5, and output-heavy chatbot favors Hy4.

Workload shapeToken mixBetter pickHy4Perceptron Mk1.5
Input-heavy / RAG5M input + 500K outputPerceptron Mk1.5$2.71$1.5
Balanced workload1M input + 1M outputPerceptron Mk1.5$1.67$1.65
Output-heavy chatbot1M input + 5M outputHy4$6.67$7.65
Cheaper input Perceptron Mk1.5 $0.417 vs $0.15 / 1M

Perceptron Mk1.5 is $0.27 cheaper per 1M input tokens (64% lower; 2.78x difference).

Cheaper output Hy4 $1.2505 vs $1.5 / 1M

Hy4 is $0.25 cheaper per 1M output tokens (16.6% lower; 1.2x difference).

Larger context Hy4 1.05M vs 36.86K

Hy4 has 1.01M more context (28.4x larger).

Sample workload Perceptron Mk1.5 $1.04 vs $0.9

Perceptron Mk1.5 is $0.14 cheaper on the standard workload (13.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy4 Calculating… Estimated API cost
Perceptron Mk1.5 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

Perceptron Mk1.5 has the lower input price; Hy4 has the lower output price; Hy4 offers the larger context window. For the 1M input plus 500K output sample, Perceptron Mk1.5 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 $0.9 for Perceptron Mk1.5.

Best Fit

Choose Hy4 when you care most about lower output-token price, and larger context window.

Choose Perceptron Mk1.5 when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $1.04 for Hy4, saving $0.14 (13.6% lower).
  • Perceptron Mk1.5 is $0.14 cheaper on the standard workload (13.6% lower).
  • Perceptron Mk1.5 is $0.27 cheaper per 1M input tokens (64% lower; 2.78x difference).
  • Hy4 is $0.25 cheaper per 1M output tokens (16.6% lower; 1.2x difference).
  • Hy4 has 1.01M more context (28.4x larger).
Head-to-Head Specs
FeatureNewHy4
(Tencent)		Perceptron Mk1.5
(Perceptron)
Input Price
prompt tokens per 1M		$0.417$0.15
Completion Price
per 1M tokens		$1.2505$1.5
Sample Workload Cost
1M input + 500K output		$1.04$0.9
Context Window1.05M36.86K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionPerceptron Mk1.5On the standard 1M input plus 500K output workload, Perceptron Mk1.5 is estimated at $0.9 vs $1.04 for Hy4, saving $0.14 (13.6% lower).
High-volume input processingPerceptron Mk1.5Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsHy4Lower 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.

Open provider hubs

Tencent catalog

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

Open Tencent models

Perceptron catalog

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

Open Perceptron models
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...

Perceptron Mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...