DeepSeek V4.1 Flash (batch) is $0.03 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
🔥MiMo-V2.5 vs DeepSeek V4.1 Flash (batch)
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $0.28 for the standard 1M input plus 500K output workload.
Context-window winner: MiMo-V2.5. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors DeepSeek V4.1 Flash (batch), balanced workload favors MiMo-V2.5, and output-heavy chatbot favors MiMo-V2.5.
| Workload shape | Token mix | Better pick | MiMo-V2.5 | DeepSeek V4.1 Flash (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V4.1 Flash (batch) | $0.84 | $0.73 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5 | $0.42 | $0.45 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5 | $1.54 | $1.79 |
MiMo-V2.5 is $0.06 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
MiMo-V2.5 has 1.42K more context (1x larger).
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.28.
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
DeepSeek V4.1 Flash (batch) 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, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.5 and $0.28 for DeepSeek V4.1 Flash (batch).
Choose MiMo-V2.5 when you care most about lower output-token price, and larger context window.
Choose DeepSeek V4.1 Flash (batch) when you care most about lower input-token price.
- Both models are estimated at $0.28 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.28.
- DeepSeek V4.1 Flash (batch) is $0.03 cheaper per 1M input tokens (20% lower; 1.25x difference).
- MiMo-V2.5 is $0.06 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- MiMo-V2.5 has 1.42K more context (1x larger).
| Feature | 🔥MiMo-V2.5 (Xiaomi) | DeepSeek V4.1 Flash (batch) (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.112 |
| Completion Price per 1M tokens | $0.28 | $0.336 |
| Sample Workload Cost 1M input + 500K output | $0.28 | $0.28 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #8 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $0.28 for the standard 1M input plus 500K output workload. |
| High-volume input processing | DeepSeek V4.1 Flash (batch) | 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 0731 (free) can replace DeepSeek V4.1 Flash (batch) when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash (free) can replace DeepSeek V4.1 Flash (batch) when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4.1 Flash (batch) when lower sample workload cost matters most: $0.1.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #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 V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...