Model Comparison

Qwen3.6-35B-A3B vs MiMo-V2.5Which is better in 2026?

MiMo-V2.5 significantly outperforms across most benchmarks.

Verdict: Qwen3.6-35B-A3B vs MiMo-V2.5 — which is better?

Qwen3.6-35B-A3B (by Alibaba Cloud / Qwen Team) and MiMo-V2.5 (by Xiaomi) 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.

Qwen3.6-35B-A3B outperforms in 0 benchmarks, while MiMo-V2.5 is better at 5 benchmarks (CharXiv-R, Claw-Eval, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.0). MiMo-V2.5 significantly outperforms across most benchmarks.

Choose Qwen3.6-35B-A3B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose MiMo-V2.5 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.6-35B-A3B outperforms in 0 benchmarks, while MiMo-V2.5 is better at 5 benchmarks (CharXiv-R, Claw-Eval, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.0).

MiMo-V2.5 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

275.8B diff

MiMo-V2.5 has 275.8B more parameters than Qwen3.6-35B-A3B, making it 787.9% larger.

Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
35.0Bparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
35.0B
Qwen3.6-35B-A3B
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

Only MiMo-V2.5 specifies input context (1,048,576 tokens). Only MiMo-V2.5 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.6-35B-A3B and MiMo-V2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.6-35B-A3B

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.6-35B-A3B is licensed under Apache 2.0, while MiMo-V2.5 uses MIT.

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

Qwen3.6-35B-A3B

Apache 2.0

Open weights

MiMo-V2.5

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.6-35B-A3B was released on 2026-04-16, while MiMo-V2.5 was released on 2026-04-22.

MiMo-V2.5 is 0 month newer than Qwen3.6-35B-A3B.

Qwen3.6-35B-A3B

Apr 16, 2026

3 months ago

MiMo-V2.5

Apr 22, 2026

2 months ago

6d 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

Alibaba Cloud / Qwen Team

Qwen3.6-35B-A3B

View details

Alibaba Cloud / Qwen Team

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

Xiaomi
Larger context window (1,048,576 tokens)
Higher CharXiv-R score (81.0% vs 78.0%)
Higher Claw-Eval score (63.2% vs 50.0%)
Higher MMMU-Pro score (77.9% vs 75.3%)
Higher SWE-Bench Pro score (56.1% vs 49.5%)
Higher Terminal-Bench 2.0 score (65.8% vs 51.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-35B-A3B and MiMo-V2.5 side-by-side, then vote on the output you prefer.

Qwen3.6-35B-A3B
✓ Preferred
MiMo-V2.5
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Xiaomi
MiMo-V2.5

FAQ

Common questions about Qwen3.6-35B-A3B vs MiMo-V2.5.

Which is better, Qwen3.6-35B-A3B or MiMo-V2.5?

MiMo-V2.5 significantly outperforms across most benchmarks. Qwen3.6-35B-A3B is made by Alibaba Cloud / Qwen Team and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.6-35B-A3B compare to MiMo-V2.5 in benchmarks?

Qwen3.6-35B-A3B scores MMLU-Redux: 93.3%, MMBench-V1.1: 92.8%, AI2D: 92.7%, AIME 2026: 92.7%, RefCOCO-avg: 92.0%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

What are the context window sizes for Qwen3.6-35B-A3B and MiMo-V2.5?

Qwen3.6-35B-A3B supports an unknown number of tokens and MiMo-V2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.6-35B-A3B and MiMo-V2.5?

Key differences include licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.6-35B-A3B and MiMo-V2.5?

Qwen3.6-35B-A3B is developed by Alibaba Cloud / Qwen Team and MiMo-V2.5 is developed by Xiaomi.

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