Model Comparison

DeepSeek-V3 vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 3.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while MiMo-V2-Flash is better at 4 benchmarks (GPQA, LongBench v2, MMLU-Pro, SWE-Bench Verified).

MiMo-V2-Flash significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 3.7x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

362.0B diff

DeepSeek-V3 has 362.0B more parameters than MiMo-V2-Flash, making it 117.2% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
671.0B
DeepSeek-V3
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Fri May 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while MiMo-V2-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 12 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

MiMo-V2-Flash

Dec 16, 2025

5 months ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 is available from DeepSeek. MiMo-V2-Flash is available from Xiaomi.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (83.7% vs 59.1%)
Higher LongBench v2 score (60.6% vs 48.7%)
Higher MMLU-Pro score (84.9% vs 75.9%)
Higher SWE-Bench Verified score (73.4% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about DeepSeek-V3 vs MiMo-V2-Flash.

Which is better, DeepSeek-V3 or MiMo-V2-Flash?

MiMo-V2-Flash significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to MiMo-V2-Flash in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is DeepSeek-V3 cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.

What are the context window sizes for DeepSeek-V3 and MiMo-V2-Flash?

DeepSeek-V3 supports 131K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 and MiMo-V2-Flash?

Key differences include context window (131K vs 256K), input pricing ($0.27 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and MiMo-V2-Flash?

DeepSeek-V3 is developed by DeepSeek and MiMo-V2-Flash is developed by Xiaomi.