GPT-4.1 Nano is $0.9 cheaper per 1M input tokens (90% lower; 10x difference).
API cost decision in 10 seconds
GPT-4.1 Nano vs MiMo-V2-Pro
Pick GPT-4.1 Nano for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.
Budget verdict
Pick GPT-4.1 Nano for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.2 (88% lower).
MiMo-V2-Pro has more context, but GPT-4.1 Nano saves $2.2 on the standard workload. At 10x that traffic, the same price gap is about $22. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-4.1 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-4.1 Nano | MiMo-V2-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-4.1 Nano | $0.7 | $6.5 |
| Balanced workload | 1M input + 1M output | GPT-4.1 Nano | $0.5 | $4 |
| Output-heavy chatbot | 1M input + 5M output | GPT-4.1 Nano | $2.1 | $16 |
GPT-4.1 Nano is $2.6 cheaper per 1M output tokens (86.7% lower; 7.5x difference).
MiMo-V2-Pro has 1K more context (1x larger).
GPT-4.1 Nano is $2.2 cheaper on the standard workload (88% 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
GPT-4.1 Nano has the lower input price; GPT-4.1 Nano has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, GPT-4.1 Nano is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.3 for GPT-4.1 Nano and $2.5 for MiMo-V2-Pro.
Choose GPT-4.1 Nano when you care most about lower input-token price, and lower output-token price.
Choose MiMo-V2-Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.2 (88% lower).
- GPT-4.1 Nano is $2.2 cheaper on the standard workload (88% lower).
- GPT-4.1 Nano is $0.9 cheaper per 1M input tokens (90% lower; 10x difference).
- GPT-4.1 Nano is $2.6 cheaper per 1M output tokens (86.7% lower; 7.5x difference).
- MiMo-V2-Pro has 1K more context (1x larger).
| Feature | GPT-4.1 Nano (OpenAI) | MiMo-V2-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $1 |
| Completion Price per 1M tokens | $0.4 | $3 |
| Sample Workload Cost 1M input + 500K output | $0.3 | $2.5 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #73 | #74 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-4.1 Nano | On the standard 1M input plus 500K output workload, GPT-4.1 Nano is estimated at $0.3 vs $2.5 for MiMo-V2-Pro, saving $2.2 (88% lower). |
| High-volume input processing | GPT-4.1 Nano | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-4.1 Nano | 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
- gpt-oss-120b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4.1 Nano when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
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Cheaper alternatives
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