MiMo-V2-Flash is $0.3 cheaper per 1M input tokens (75% lower; 4x difference).
API cost decision in 10 seconds
MiMo-V2.5 vs MiMo-V2-Flash
Pick MiMo-V2-Flash for lower cost; pick MiMo-V2.5 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 MiMo-V2.5 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 $1.4 for MiMo-V2.5, saving $1.15 (82.1% lower).
Cost-first pickMiMo-V2-Flash
Context-first pickMiMo-V2.5
Sample savings$1.1582.1%
10x traffic gap$11.5
MiMo-V2.5 has more context, but MiMo-V2-Flash saves $1.15 on the standard workload. At 10x that traffic, the same price gap is about $11.5. 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-V2.5 | MiMo-V2-Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Flash | $3 | $0.65 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Flash | $2.4 | $0.4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Flash | $10.4 | $1.6 |
MiMo-V2-Flash is $1.7 cheaper per 1M output tokens (85% lower; 6.67x difference).
MiMo-V2.5 has 786.43K more context (4x larger).
MiMo-V2-Flash is $1.15 cheaper on the standard workload (82.1% 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; MiMo-V2.5 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 $1.4 for MiMo-V2.5 and $0.25 for MiMo-V2-Flash.
Choose MiMo-V2.5 when you care most about larger context window.
Choose MiMo-V2-Flash when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $1.4 for MiMo-V2.5, saving $1.15 (82.1% lower).
- MiMo-V2-Flash is $1.15 cheaper on the standard workload (82.1% lower).
- MiMo-V2-Flash is $0.3 cheaper per 1M input tokens (75% lower; 4x difference).
- MiMo-V2-Flash is $1.7 cheaper per 1M output tokens (85% lower; 6.67x difference).
- MiMo-V2.5 has 786.43K more context (4x larger).
| Feature | MiMo-V2.5 (Xiaomi) | MiMo-V2-Flash (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.1 |
| Completion Price per 1M tokens | $2 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $0.25 |
| Context Window | 1.05M | 262.14K |
| Release Date |
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 $1.4 for MiMo-V2.5, saving $1.15 (82.1% 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 | MiMo-V2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- 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 · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsXiaomi catalog
Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.
Open Xiaomi modelsMiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
MiMo-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...