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MiMo-V2.6-Flash vs Qwen3 VL 32B Thinking

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 23.5.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 23.5, 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 45.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

MiMo-V2.6-Flash
Xiaomi
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.7
#29
23.5
#177
Reasoning
43.2
#42
24.7
#156
Agents
33.3
#25
12.9
#100
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 47 for Qwen3 VL 32B Thinking

No common benchmarks found

MiMo-V2.6-Flash and Qwen3 VL 32B Thinkingdon'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

276.0B diff

MiMo-V2.6-Flash has 276.0B more parameters than Qwen3 VL 32B Thinking, making it 836.4% larger.

Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
309.0B
MiMo-V2.6-Flash
33.0B
Qwen3 VL 32B Thinking

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Flash and Qwen3 VL 32B Thinking support multimodal inputs.

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

MiMo-V2.6-Flash

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Flash is licensed under MIT, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

MiMo-V2.6-Flash

MIT

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Qwen3 VL 32B Thinking was released on 2025-09-22.

MiMo-V2.6-Flash is 12 months newer than Qwen3 VL 32B Thinking.

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

1.0yr newer
Qwen3 VL 32B Thinking

Sep 22, 2025

12 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 VL 32B Thinking side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Qwen3 VL 32B Thinking.

Which is better, MiMo-V2.6-Flash or Qwen3 VL 32B Thinking?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 23.5. MiMo-V2.6-Flash is made by Xiaomi and Qwen3 VL 32B Thinking 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 VL 32B Thinking 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 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between MiMo-V2.6-Flash and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (45.7 vs 23.5), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Qwen3 VL 32B Thinking?

MiMo-V2.6-Flash is developed by Xiaomi and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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