MiMo-V2.5 is $0.06 cheaper per 1M input tokens (30% lower; 1.43x difference).
API cost decision in 10 seconds
MiMo-V2.5 vs DeepSeek V3 0324
Pick MiMo-V2.5 when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2.5 when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $0.58 for DeepSeek V3 0324, saving $0.3 (52.1% lower).
Cost-first pickMiMo-V2.5
Context-first pickMiMo-V2.5
Sample savings$0.352.1%
10x traffic gap$3.05
MiMo-V2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2.5 | DeepSeek V3 0324 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2.5 | $0.84 | $1.39 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5 | $0.42 | $0.97 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5 | $1.54 | $4.05 |
MiMo-V2.5 is $0.49 cheaper per 1M output tokens (63.6% lower; 2.75x difference).
MiMo-V2.5 has 884.74K more context (6.4x larger).
MiMo-V2.5 is $0.3 cheaper on the standard workload (52.1% 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-V2.5 has the lower input price; MiMo-V2.5 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.5 and $0.58 for DeepSeek V3 0324.
Choose MiMo-V2.5 when you care most about lower input-token price, lower output-token price, and larger context window.
Choose DeepSeek V3 0324 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-V2.5 is estimated at $0.28 vs $0.58 for DeepSeek V3 0324, saving $0.3 (52.1% lower).
- MiMo-V2.5 is $0.3 cheaper on the standard workload (52.1% lower).
- MiMo-V2.5 is $0.06 cheaper per 1M input tokens (30% lower; 1.43x difference).
- MiMo-V2.5 is $0.49 cheaper per 1M output tokens (63.6% lower; 2.75x difference).
- MiMo-V2.5 has 884.74K more context (6.4x larger).
| Feature | MiMo-V2.5 (Xiaomi) | DeepSeek V3 0324 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.2 |
| Completion Price per 1M tokens | $0.28 | $0.77 |
| Sample Workload Cost 1M input + 500K output | $0.28 | $0.58 |
| Context Window | 1.05M | 163.84K |
| Release Date | ||
| Popularity | #39 | #52 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2.5 | On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $0.58 for DeepSeek V3 0324, saving $0.3 (52.1% lower). |
| High-volume input processing | MiMo-V2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2.5 | 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
- MiMo-V2-Flash can replace MiMo-V2.5 when lower sample workload cost matters most: $0.25.
- DeepSeek V4 Flash (free) can replace DeepSeek V3 0324 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V3 0324 when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V3 0324 when lower sample workload cost matters most: $0.43.
- 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 modelsDeepSeek catalog
Check other DeepSeek models with comparable pricing, context, or release timing.
Open DeepSeek 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...
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...