Model Comparison

MiMo-V2-Flash vs Qwen3.8 MaxWhich is better in 2026?

Qwen3.8 Max significantly outperforms across most benchmarks.

Verdict: MiMo-V2-Flash vs Qwen3.8 Max — which is better?

MiMo-V2-Flash (by Xiaomi) and Qwen3.8 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MiMo-V2-Flash outperforms in 0 benchmarks, while Qwen3.8 Max is better at 3 benchmarks (GPQA, Humanity's Last Exam, LongBench v2). Qwen3.8 Max significantly outperforms across most benchmarks.

Choose MiMo-V2-Flash if…

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Max if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

MiMo-V2-Flash outperforms in 0 benchmarks, while Qwen3.8 Max is better at 3 benchmarks (GPQA, Humanity's Last Exam, LongBench v2).

Qwen3.8 Max significantly outperforms across most benchmarks.

Tue Aug 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2091.0B diff

Qwen3.8 Max has 2091.0B more parameters than MiMo-V2-Flash, making it 676.7% larger.

Xiaomi
MiMo-V2-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
309.0B
MiMo-V2-Flash
2400.0B
Qwen3.8 Max

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
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input- tokens
Output- tokens
Tue Aug 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8 Max supports multimodal inputs, whereas MiMo-V2-Flash does not.

Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2-Flash

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Flash is licensed under MIT, while Qwen3.8 Max uses a proprietary license.

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

MiMo-V2-Flash

MIT

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2-Flash was released on 2025-12-16, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 8 months newer than MiMo-V2-Flash.

MiMo-V2-Flash

Dec 16, 2025

7 months ago

Qwen3.8 Max

Aug 2, 2026

2 days ago

7mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (256,000 tokens)
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (92.6% vs 83.7%)
Higher Humanity's Last Exam score (43.6% vs 22.1%)
Higher LongBench v2 score (66.3% vs 60.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2-Flash and Qwen3.8 Max side-by-side, then vote on the output you prefer.

MiMo-V2-Flash
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2-Flash
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about MiMo-V2-Flash vs Qwen3.8 Max.

Which is better, MiMo-V2-Flash or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. MiMo-V2-Flash is made by Xiaomi and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiMo-V2-Flash compare to Qwen3.8 Max 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%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the context window sizes for MiMo-V2-Flash and Qwen3.8 Max?

MiMo-V2-Flash supports 256K tokens and Qwen3.8 Max 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 Qwen3.8 Max?

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

Who makes MiMo-V2-Flash and Qwen3.8 Max?

MiMo-V2-Flash is developed by Xiaomi and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.