MiMo-V2-Omni is $20.6 cheaper per 1M input tokens (98.1% lower; 52.5x difference).
API cost decision in 10 seconds
MiMo-V2-Omni vs GPT-5.2 Pro
Pick MiMo-V2-Omni for lower cost; pick GPT-5.2 Pro only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2-Omni for lower cost; pick GPT-5.2 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $105 for GPT-5.2 Pro, saving $103.6 (98.7% lower).
Cost-first pickMiMo-V2-Omni
Context-first pickGPT-5.2 Pro
Sample savings$103.698.7%
10x traffic gap$1036
GPT-5.2 Pro has more context, but MiMo-V2-Omni saves $103.6 on the standard workload. At 10x that traffic, the same price gap is about $1036. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Omni stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Omni | GPT-5.2 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $3 | $189 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Omni | $2.4 | $189 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Omni | $10.4 | $861 |
MiMo-V2-Omni is $166 cheaper per 1M output tokens (98.8% lower; 84x difference).
GPT-5.2 Pro has 137.86K more context (1.53x larger).
MiMo-V2-Omni is $103.6 cheaper on the standard workload (98.7% 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
MiMo-V2-Omni has the lower input price; MiMo-V2-Omni has the lower output price; GPT-5.2 Pro offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Omni is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.4 for MiMo-V2-Omni and $105 for GPT-5.2 Pro.
Choose MiMo-V2-Omni when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.2 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $105 for GPT-5.2 Pro, saving $103.6 (98.7% lower).
- MiMo-V2-Omni is $103.6 cheaper on the standard workload (98.7% lower).
- MiMo-V2-Omni is $20.6 cheaper per 1M input tokens (98.1% lower; 52.5x difference).
- MiMo-V2-Omni is $166 cheaper per 1M output tokens (98.8% lower; 84x difference).
- GPT-5.2 Pro has 137.86K more context (1.53x larger).
| Feature | MiMo-V2-Omni (Xiaomi) | GPT-5.2 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $21 |
| Completion Price per 1M tokens | $2 | $168 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $105 |
| Context Window | 262.14K | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Omni | On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $105 for GPT-5.2 Pro, saving $103.6 (98.7% lower). |
| High-volume input processing | MiMo-V2-Omni | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Omni | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.2 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-Omni when lower sample workload cost matters most: $0.25.
- gpt-oss-120b (free) can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.2 Pro when lower sample workload cost matters most: $0.1.
- 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
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsXiaomi catalog
Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.
Open Xiaomi modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsMiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...