Hy-MT2-1.8B is $0.1 cheaper per 1M input tokens (68.6% lower; 3.18x difference).
API cost decision in 10 seconds
NewHy-MT2-1.8B vs DeepSeek V4 Flash 0731 (batch)
Pick Hy-MT2-1.8B for lower cost; pick DeepSeek V4 Flash 0731 (batch) only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Hy-MT2-1.8B for lower cost; pick DeepSeek V4 Flash 0731 (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.15 (52.7% lower).
Cost-first pickHy-MT2-1.8B
Context-first pickDeepSeek V4 Flash 0731 (batch)
Sample savings$0.1552.7%
10x traffic gap$1.48
DeepSeek V4 Flash 0731 (batch) has more context, but Hy-MT2-1.8B saves $0.15 on the standard workload. At 10x that traffic, the same price gap is about $1.48. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hy-MT2-1.8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy-MT2-1.8B | DeepSeek V4 Flash 0731 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy-MT2-1.8B | $0.31 | $0.84 |
| Balanced workload | 1M input + 1M output | Hy-MT2-1.8B | $0.22 | $0.42 |
| Output-heavy chatbot | 1M input + 5M output | Hy-MT2-1.8B | $0.93 | $1.54 |
Hy-MT2-1.8B is $0.1 cheaper per 1M output tokens (36.8% lower; 1.58x difference).
DeepSeek V4 Flash 0731 (batch) has 1.04M more context (128x larger).
Hy-MT2-1.8B is $0.15 cheaper on the standard workload (52.7% 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-MT2-1.8B has the lower input price; Hy-MT2-1.8B has the lower output price; DeepSeek V4 Flash 0731 (batch) offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-1.8B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.13 for Hy-MT2-1.8B and $0.28 for DeepSeek V4 Flash 0731 (batch).
Choose Hy-MT2-1.8B when you care most about lower input-token price, and lower output-token price.
Choose DeepSeek V4 Flash 0731 (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.15 (52.7% lower).
- Hy-MT2-1.8B is $0.15 cheaper on the standard workload (52.7% lower).
- Hy-MT2-1.8B is $0.1 cheaper per 1M input tokens (68.6% lower; 3.18x difference).
- Hy-MT2-1.8B is $0.1 cheaper per 1M output tokens (36.8% lower; 1.58x difference).
- DeepSeek V4 Flash 0731 (batch) has 1.04M more context (128x larger).
| Feature | NewHy-MT2-1.8B (Tencent) | DeepSeek V4 Flash 0731 (batch) (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.044 | $0.14 |
| Completion Price per 1M tokens | $0.177 | $0.28 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $0.28 |
| Context Window | 8.19K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy-MT2-1.8B | On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.15 (52.7% lower). |
| High-volume input processing | Hy-MT2-1.8B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy-MT2-1.8B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash 0731 (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy-MT2-1.8B when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.1.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.17.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.1 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Nemotron 3 Ultra (free) · NVIDIA · #4
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Open DeepSeek modelsHy-MT2-1.8B is a compact 1.8B-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...
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....