MiMo-V2-Pro is $20 cheaper per 1M input tokens (95.2% lower; 21x difference).
API cost decision in 10 seconds
MiMo-V2-Pro vs GPT-5.2 Pro
Pick MiMo-V2-Pro when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2-Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $105 for GPT-5.2 Pro, saving $102.5 (97.6% lower).
Cost-first pickMiMo-V2-Pro
Context-first pickMiMo-V2-Pro
Sample savings$102.597.6%
10x traffic gap$1025
MiMo-V2-Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1025. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Pro | GPT-5.2 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Pro | $6.5 | $189 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Pro | $4 | $189 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Pro | $16 | $861 |
MiMo-V2-Pro is $165 cheaper per 1M output tokens (98.2% lower; 56x difference).
MiMo-V2-Pro has 648.58K more context (2.62x larger).
MiMo-V2-Pro is $102.5 cheaper on the standard workload (97.6% 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
MiMo-V2-Pro has the lower input price; MiMo-V2-Pro has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for MiMo-V2-Pro and $105 for GPT-5.2 Pro.
Choose MiMo-V2-Pro when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT-5.2 Pro 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, MiMo-V2-Pro is estimated at $2.5 vs $105 for GPT-5.2 Pro, saving $102.5 (97.6% lower).
- MiMo-V2-Pro is $102.5 cheaper on the standard workload (97.6% lower).
- MiMo-V2-Pro is $20 cheaper per 1M input tokens (95.2% lower; 21x difference).
- MiMo-V2-Pro is $165 cheaper per 1M output tokens (98.2% lower; 56x difference).
- MiMo-V2-Pro has 648.58K more context (2.62x larger).
| Feature | MiMo-V2-Pro (Xiaomi) | GPT-5.2 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $21 |
| Completion Price per 1M tokens | $3 | $168 |
| Sample Workload Cost 1M input + 500K output | $2.5 | $105 |
| Context Window | 1.05M | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Pro | On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $105 for GPT-5.2 Pro, saving $102.5 (97.6% lower). |
| High-volume input processing | MiMo-V2-Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2-Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.25.
- MiMo-V2.5 can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.
- MiMo-V2-Omni can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.
- gpt-oss-120b (free) can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- OpenAI GPT Latest offers 1.05M context with $20 sample workload cost.
- No popular competitor is currently available.
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 hubsXiaomi catalog
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