Hy-MT2-1.8B is $0.39 cheaper per 1M input tokens (89.9% lower; 9.89x difference).
API cost decision in 10 seconds
NewHy-MT2-1.8B vs MiMo-V2.5-Pro
Pick Hy-MT2-1.8B for lower cost; pick MiMo-V2.5-Pro 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 MiMo-V2.5-Pro 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 $0.87 for MiMo-V2.5-Pro, saving $0.74 (84.8% lower).
Cost-first pickHy-MT2-1.8B
Context-first pickMiMo-V2.5-Pro
Sample savings$0.7484.8%
10x traffic gap$7.38
MiMo-V2.5-Pro has more context, but Hy-MT2-1.8B saves $0.74 on the standard workload. At 10x that traffic, the same price gap is about $7.38. 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 | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy-MT2-1.8B | $0.31 | $2.61 |
| Balanced workload | 1M input + 1M output | Hy-MT2-1.8B | $0.22 | $1.3 |
| Output-heavy chatbot | 1M input + 5M output | Hy-MT2-1.8B | $0.93 | $4.78 |
Hy-MT2-1.8B is $0.69 cheaper per 1M output tokens (79.7% lower; 4.92x difference).
MiMo-V2.5-Pro has 1.04M more context (128.2x larger).
Hy-MT2-1.8B is $0.74 cheaper on the standard workload (84.8% 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; MiMo-V2.5-Pro 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 $0.87 for MiMo-V2.5-Pro.
Choose Hy-MT2-1.8B when you care most about lower input-token price, and lower output-token price.
Choose MiMo-V2.5-Pro 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 $0.87 for MiMo-V2.5-Pro, saving $0.74 (84.8% lower).
- Hy-MT2-1.8B is $0.74 cheaper on the standard workload (84.8% lower).
- Hy-MT2-1.8B is $0.39 cheaper per 1M input tokens (89.9% lower; 9.89x difference).
- Hy-MT2-1.8B is $0.69 cheaper per 1M output tokens (79.7% lower; 4.92x difference).
- MiMo-V2.5-Pro has 1.04M more context (128.2x larger).
| Feature | NewHy-MT2-1.8B (Tencent) | MiMo-V2.5-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.044 | $0.435 |
| Completion Price per 1M tokens | $0.177 | $0.87 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $0.87 |
| 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 $0.87 for MiMo-V2.5-Pro, saving $0.74 (84.8% 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 | MiMo-V2.5-Pro | 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.
- MiMo-V2-Flash can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.25.
- MiMo-V2.5 can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.28.
- 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.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open Xiaomi 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...
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....