The AI arena is free today

Open Superagent

MiMo-V2.6-Pro vs Qwen3 235B A22B

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 15.6.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 15.6, 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 Qwen3 235B A22B

  • you want predictable pricing at $0.10/M input and $0.10/M output

At a glance

The differences that matter most.

Core performance indexes
40.6
#57
15.6
#232
34.1
#35
12.2
#153
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
128,000

Individual benchmarks

3 reported for MiMo-V2.6-Pro · 23 for Qwen3 235B A22B

No common benchmarks found

MiMo-V2.6-Pro and Qwen3 235B A22Bdon'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

785.0B diff

MiMo-V2.6-Pro has 785.0B more parameters than Qwen3 235B A22B, making it 334.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
1020.0B
MiMo-V2.6-Pro
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Qwen3 235B A22B 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

Qwen3 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Qwen3 235B A22B 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

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Qwen3 235B A22B was released on 2025-04-29.

MiMo-V2.6-Pro is 17 months newer than Qwen3 235B A22B.

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.4yr newer
Qwen3 235B A22B

Apr 29, 2025

1.4 years 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

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and Qwen3 235B A22B side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Qwen3 235B A22B
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Qwen3 235B A22B.

Which is better, MiMo-V2.6-Pro or Qwen3 235B A22B?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 15.6. MiMo-V2.6-Pro is made by Xiaomi and Qwen3 235B A22B 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 Qwen3 235B A22B in benchmarks?

MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for MiMo-V2.6-Pro and Qwen3 235B A22B?

MiMo-V2.6-Pro supports an unknown number of tokens and Qwen3 235B A22B supports 128K 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 Qwen3 235B A22B?

Key differences include LLM Stats Score (40.6 vs 15.6), 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 Qwen3 235B A22B?

MiMo-V2.6-Pro is developed by Xiaomi and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.