Hy3 is $0.02 cheaper per 1M input tokens (12% lower; 1.14x difference).
API cost decision in 10 seconds
🔥Hy3 vs Perceptron Mk1
Pick Hy3 when budget and context both matter.
Budget verdict
Pick Hy3 when budget and context both matter.
On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.9 for Perceptron Mk1, saving $0.5 (56% lower).
Hy3 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.04. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hy3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy3 | Perceptron Mk1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy3 | $0.92 | $1.5 |
| Balanced workload | 1M input + 1M output | Hy3 | $0.66 | $1.65 |
| Output-heavy chatbot | 1M input + 5M output | Hy3 | $2.77 | $7.65 |
Hy3 is $0.97 cheaper per 1M output tokens (64.8% lower; 2.84x difference).
Hy3 has 229.38K more context (8x larger).
Hy3 is $0.5 cheaper on the standard workload (56% lower).
Estimate your workload cost
Your Workload Cost
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
Hy3 has the lower input price; Hy3 has the lower output price; Hy3 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 $0.9 for Perceptron Mk1.
Choose Hy3 when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Perceptron Mk1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.9 for Perceptron Mk1, saving $0.5 (56% lower).
- Hy3 is $0.5 cheaper on the standard workload (56% lower).
- Hy3 is $0.02 cheaper per 1M input tokens (12% lower; 1.14x difference).
- Hy3 is $0.97 cheaper per 1M output tokens (64.8% lower; 2.84x difference).
- Hy3 has 229.38K more context (8x larger).
| Feature | 🔥Hy3 (Tencent) | Perceptron Mk1 (Perceptron) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.132 | $0.15 |
| Completion Price per 1M tokens | $0.528 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.9 |
| Context Window | 262.14K | 32.77K |
| Release Date | ||
| Popularity | #3 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy3 | On the standard 1M input plus 500K output workload, Hy3 is estimated at $0.4 vs $0.9 for Perceptron Mk1, saving $0.5 (56% lower). |
| High-volume input processing | Hy3 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Hy3 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- 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.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Ox Alpha · stealth · #4
- DeepSeek V4 Flash 0423 · DeepSeek · #5
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsTencent catalog
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Open Tencent modelsPerceptron catalog
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Open Perceptron modelsHy3 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:...
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...