MiMo-V2-Flash is $0.3 cheaper per 1M input tokens (75% lower; 4x difference).
API cost decision in 10 seconds
MiMo-V2-Flash vs GPT-4.1 Mini
Pick MiMo-V2-Flash for lower cost; pick GPT-4.1 Mini 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 MiMo-V2-Flash for lower cost; pick GPT-4.1 Mini only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $1.2 for GPT-4.1 Mini, saving $0.95 (79.2% lower).
Cost-first pickMiMo-V2-Flash
Context-first pickGPT-4.1 Mini
Sample savings$0.9579.2%
10x traffic gap$9.5
GPT-4.1 Mini has more context, but MiMo-V2-Flash saves $0.95 on the standard workload. At 10x that traffic, the same price gap is about $9.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Flash | GPT-4.1 Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Flash | $0.65 | $2.8 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Flash | $0.4 | $2 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Flash | $1.6 | $8.4 |
MiMo-V2-Flash is $1.3 cheaper per 1M output tokens (81.2% lower; 5.33x difference).
GPT-4.1 Mini has 785.43K more context (4x larger).
MiMo-V2-Flash is $0.95 cheaper on the standard workload (79.2% 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-Flash has the lower input price; MiMo-V2-Flash has the lower output price; GPT-4.1 Mini offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for MiMo-V2-Flash and $1.2 for GPT-4.1 Mini.
Choose MiMo-V2-Flash when you care most about lower input-token price, and lower output-token price.
Choose GPT-4.1 Mini when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $1.2 for GPT-4.1 Mini, saving $0.95 (79.2% lower).
- MiMo-V2-Flash is $0.95 cheaper on the standard workload (79.2% lower).
- MiMo-V2-Flash is $0.3 cheaper per 1M input tokens (75% lower; 4x difference).
- MiMo-V2-Flash is $1.3 cheaper per 1M output tokens (81.2% lower; 5.33x difference).
- GPT-4.1 Mini has 785.43K more context (4x larger).
| Feature | MiMo-V2-Flash (Xiaomi) | GPT-4.1 Mini (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.4 |
| Completion Price per 1M tokens | $0.3 | $1.6 |
| Sample Workload Cost 1M input + 500K output | $0.25 | $1.2 |
| Context Window | 262.14K | 1.05M |
| Release Date | ||
| Popularity | #49 | #51 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Flash | On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $1.2 for GPT-4.1 Mini, saving $0.95 (79.2% lower). |
| High-volume input processing | MiMo-V2-Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-4.1 Mini | 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 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4.1 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4.1 Mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4.1 Mini when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open provider hubsXiaomi catalog
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Open OpenAI modelsMiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a...
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...