The AI arena is free today

Open Superagent

MiMo-V2.6-Pro vs QwQ-32B-Preview

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 9.0.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 9.0, ranking #57 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose QwQ-32B-Preview

  • you want predictable pricing at $0.15/M input and $0.20/M output

At a glance

The differences that matter most.

Core performance indexes
40.6
#57
9.0
#275
34.1
#35
4.4
#210
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
32,768

Individual benchmarks

3 reported for MiMo-V2.6-Pro · 4 for QwQ-32B-Preview

No common benchmarks found

MiMo-V2.6-Pro and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

987.5B diff

MiMo-V2.6-Pro has 987.5B more parameters than QwQ-32B-Preview, making it 3038.5% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
1020.0B
MiMo-V2.6-Pro
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas QwQ-32B-Preview does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2.6-Pro

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

MiMo-V2.6-Pro

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while QwQ-32B-Preview was released on 2024-11-28.

MiMo-V2.6-Pro is 22 months newer than QwQ-32B-Preview.

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

1.8yr newer
QwQ-32B-Preview

Nov 28, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while MiMo-V2.6-Pro's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.

MiMo-V2.6-Pro

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs QwQ-32B-Preview.

Which is better, MiMo-V2.6-Pro or QwQ-32B-Preview?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 9.0. MiMo-V2.6-Pro is made by Xiaomi and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2.6-Pro compare to QwQ-32B-Preview in benchmarks?

MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for MiMo-V2.6-Pro and QwQ-32B-Preview?

MiMo-V2.6-Pro supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.6-Pro and QwQ-32B-Preview?

Key differences include LLM Stats Score (40.6 vs 9.0), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and QwQ-32B-Preview?

MiMo-V2.6-Pro is developed by Xiaomi and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.