DeepSeek-V3.2-Speciale vs MiMo-V2-Flash Comparison
Comparing DeepSeek-V3.2-Speciale and MiMo-V2-Flash across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale outperforms in 4 benchmarks (AIME 2025, HMMT 2025, Humanity's Last Exam, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 1 benchmark (SWE-Bench Verified).
DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 2.8x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 1.4x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, DeepSeek-V3.2-Speciale is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 376.0B more parameters than MiMo-V2-Flash, making it 121.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2-Flash accepts 256,000 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.2-Speciale was released on 2025-12-01, while MiMo-V2-Flash was released on 2025-12-16.
MiMo-V2-Flash is 1 month newer than DeepSeek-V3.2-Speciale.
Dec 1, 2025
3 months ago
Dec 16, 2025
3 months ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. MiMo-V2-Flash is available from Xiaomi. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3.2-Speciale
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
Detailed Comparison
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