Model Comparison

DeepSeek-V3 0324 vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 3.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while MiMo-V2-Flash is better at 2 benchmarks (GPQA, MMLU-Pro).

MiMo-V2-Flash significantly outperforms across most benchmarks.

Thu Apr 16 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 0324 ($0.28/1M tokens) is 2.8x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.8x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than MiMo-V2-Flash.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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 0324 has 362.0B more parameters than MiMo-V2-Flash, making it 117.2% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
671.0B
DeepSeek-V3 0324
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 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 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 0324

MIT + Model License (Commercial use allowed)

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 9 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

MiMo-V2-Flash

Dec 16, 2025

4 months ago

8mo 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 0324 is available from Novita. MiMo-V2-Flash is available from Xiaomi.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (83.7% vs 68.4%)
Higher MMLU-Pro score (84.9% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about DeepSeek-V3 0324 vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. DeepSeek-V3 0324 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.
DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.
MiMo-V2-Flash is 2.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.
DeepSeek-V3 0324 supports 164K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 256K), input pricing ($0.28 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and MiMo-V2-Flash is developed by Xiaomi.