Model Comparison

MiMo-V2-Flash vs MiniStral 3 (14B Instruct 2512)

Comparing MiMo-V2-Flash and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiMo-V2-Flash and MiniStral 3 (14B Instruct 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

295.0B diff

MiMo-V2-Flash has 295.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 2107.1% larger.

Xiaomi
MiMo-V2-Flash
309.0Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
309.0B
MiMo-V2-Flash
14.0B
MiniStral 3 (14B Instruct 2512)

Context Window

Maximum input and output token capacity

Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Wed May 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas MiMo-V2-Flash does not.

MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2-Flash

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Flash is licensed under MIT, while MiniStral 3 (14B Instruct 2512) uses Apache 2.0.

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

MiMo-V2-Flash

MIT

Open weights

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

MiMo-V2-Flash is 0 month newer than MiniStral 3 (14B Instruct 2512).

MiMo-V2-Flash

Dec 16, 2025

5 months ago

1w newer
MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

5 months ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (256,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Flash
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about MiMo-V2-Flash vs MiniStral 3 (14B Instruct 2512).

Which is better, MiMo-V2-Flash or MiniStral 3 (14B Instruct 2512)?

MiMo-V2-Flash (Xiaomi) and MiniStral 3 (14B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiMo-V2-Flash compare to MiniStral 3 (14B Instruct 2512) in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for MiMo-V2-Flash and MiniStral 3 (14B Instruct 2512)?

MiMo-V2-Flash supports 256K tokens and MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2-Flash and MiniStral 3 (14B Instruct 2512)?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Flash and MiniStral 3 (14B Instruct 2512)?

MiMo-V2-Flash is developed by Xiaomi and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.