Hy-MT2-7B is $1.93 cheaper per 1M input tokens (96.3% lower; 27x difference).
API cost decision in 10 seconds
NewHy-MT2-7B vs GPT-5.6 Terra
Pick Hy-MT2-7B for lower cost; pick GPT-5.6 Terra 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 Hy-MT2-7B for lower cost; pick GPT-5.6 Terra 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 $8 for GPT-5.6 Terra, saving $7.78 (97.2% lower).
Cost-first pickHy-MT2-7B
Context-first pickGPT-5.6 Terra
Sample savings$7.7897.2%
10x traffic gap$77.78
GPT-5.6 Terra has more context, but Hy-MT2-7B saves $7.78 on the standard workload. At 10x that traffic, the same price gap is about $77.78. 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 | GPT-5.6 Terra |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy-MT2-7B | $0.52 | $16 |
| Balanced workload | 1M input + 1M output | Hy-MT2-7B | $0.37 | $14 |
| Output-heavy chatbot | 1M input + 5M output | Hy-MT2-7B | $1.55 | $62 |
Hy-MT2-7B is $11.71 cheaper per 1M output tokens (97.5% lower; 40.7x difference).
GPT-5.6 Terra has 1.04M more context (128.2x larger).
Hy-MT2-7B is $7.78 cheaper on the standard workload (97.2% 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; GPT-5.6 Terra 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 $8 for GPT-5.6 Terra.
Choose Hy-MT2-7B when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.6 Terra 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 $8 for GPT-5.6 Terra, saving $7.78 (97.2% lower).
- Hy-MT2-7B is $7.78 cheaper on the standard workload (97.2% lower).
- Hy-MT2-7B is $1.93 cheaper per 1M input tokens (96.3% lower; 27x difference).
- Hy-MT2-7B is $11.71 cheaper per 1M output tokens (97.5% lower; 40.7x difference).
- GPT-5.6 Terra has 1.04M more context (128.2x larger).
| Feature | NewHy-MT2-7B (Tencent) | GPT-5.6 Terra (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.074 | $2 |
| Completion Price per 1M tokens | $0.295 | $12 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $8 |
| Context Window | 8.19K | 1.05M |
| 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 $8 for GPT-5.6 Terra, saving $7.78 (97.2% 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 | GPT-5.6 Terra | 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.
- gpt-oss-120b (free) can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.
- 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
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Open OpenAI 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.
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...