Hy-MT2-7B is $0.88 cheaper per 1M input tokens (92.2% lower; 12.8x difference).
API cost decision in 10 seconds
NewHy-MT2-7B vs Sakana Namazu
Pick Hy-MT2-7B for lower cost; pick Sakana Namazu only if the larger context window matters more.
Budget verdict
Pick Hy-MT2-7B for lower cost; pick Sakana Namazu only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $2.95 for Sakana Namazu, saving $2.73 (92.5% lower).
Sakana Namazu has more context, but Hy-MT2-7B saves $2.73 on the standard workload. At 10x that traffic, the same price gap is about $27.29. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hy-MT2-7B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy-MT2-7B | Sakana Namazu |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy-MT2-7B | $0.52 | $6.75 |
| Balanced workload | 1M input + 1M output | Hy-MT2-7B | $0.37 | $4.95 |
| Output-heavy chatbot | 1M input + 5M output | Hy-MT2-7B | $1.55 | $20.95 |
Hy-MT2-7B is $3.71 cheaper per 1M output tokens (92.6% lower; 13.6x difference).
Sakana Namazu has 253.95K more context (32x larger).
Hy-MT2-7B is $2.73 cheaper on the standard workload (92.5% 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
Hy-MT2-7B has the lower input price; Hy-MT2-7B has the lower output price; Sakana Namazu offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-7B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Hy-MT2-7B and $2.95 for Sakana Namazu.
Choose Hy-MT2-7B when you care most about lower input-token price, and lower output-token price.
Choose Sakana Namazu when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $2.95 for Sakana Namazu, saving $2.73 (92.5% lower).
- Hy-MT2-7B is $2.73 cheaper on the standard workload (92.5% lower).
- Hy-MT2-7B is $0.88 cheaper per 1M input tokens (92.2% lower; 12.8x difference).
- Hy-MT2-7B is $3.71 cheaper per 1M output tokens (92.6% lower; 13.6x difference).
- Sakana Namazu has 253.95K more context (32x larger).
| Feature | NewHy-MT2-7B (Tencent) | Sakana Namazu (Sakana) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.074 | $0.95 |
| Completion Price per 1M tokens | $0.295 | $4 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $2.95 |
| Context Window | 8.19K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy-MT2-7B | On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $2.95 for Sakana Namazu, saving $2.73 (92.5% lower). |
| High-volume input processing | Hy-MT2-7B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy-MT2-7B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Sakana Namazu | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy-MT2-7B when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy-MT2-7B when lower sample workload cost matters most: $0.13.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- 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.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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 Sakana modelsHy-MT2-7B is a 7B-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 translation.
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...