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MiMo-V2.6-Flash vs Qwen3 Max

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 21.7.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 21.7, ranking #29 overall.

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

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max

  • you want predictable pricing at $0.50/M input and $5.00/M output

At a glance

The differences that matter most.

Core performance indexes
45.6
#29
21.7
#187
42.5
#45
21.9
#178
36.7
#21
11.4
#160
33.1
#26
5.0
#150
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.50 / M
Output price
— / M
$5.00 / M
Context window
256,000

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 6 for Qwen3 Max

No common benchmarks found

MiMo-V2.6-Flash and Qwen3 Maxdon'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

691.0B diff

Qwen3 Max has 691.0B more parameters than MiMo-V2.6-Flash, making it 223.6% larger.

Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
309.0B
MiMo-V2.6-Flash
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas Qwen3 Max does not.

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

MiMo-V2.6-Flash

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Flash is licensed under MIT, while Qwen3 Max uses a proprietary license.

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

MiMo-V2.6-Flash

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Qwen3 Max was released on 2025-12-15.

MiMo-V2.6-Flash is 9 months newer than Qwen3 Max.

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

9mo newer
Qwen3 Max

Dec 15, 2025

9 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

Judge for yourself.

Run your own prompts against MiMo-V2.6-Flash and Qwen3 Max side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Qwen3 Max.

Which is better, MiMo-V2.6-Flash or Qwen3 Max?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 21.7. MiMo-V2.6-Flash is made by Xiaomi and Qwen3 Max 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-Flash compare to Qwen3 Max in benchmarks?

MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

What are the context window sizes for MiMo-V2.6-Flash and Qwen3 Max?

MiMo-V2.6-Flash supports an unknown number of tokens and Qwen3 Max supports 256K 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-Flash and Qwen3 Max?

Key differences include LLM Stats Score (45.6 vs 21.7), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Qwen3 Max?

MiMo-V2.6-Flash is developed by Xiaomi and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.