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MiMo-V2.6-Pro vs Qwen2.5 72B Instruct

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 12.1.

Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 12.1, 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 Qwen2.5 72B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

Core performance indexes
40.6
#57
12.1
#256
34.1
#35
9.2
#179
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072

Individual benchmarks

3 reported for MiMo-V2.6-Pro · 14 for Qwen2.5 72B Instruct

No common benchmarks found

MiMo-V2.6-Pro and Qwen2.5 72B Instructdon'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

947.3B diff

MiMo-V2.6-Pro has 947.3B more parameters than Qwen2.5 72B Instruct, making it 1303.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
1020.0B
MiMo-V2.6-Pro
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Qwen2.5 72B Instruct 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

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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

MiMo-V2.6-Pro

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Qwen2.5 72B Instruct was released on 2024-09-19.

MiMo-V2.6-Pro is 24 months newer than Qwen2.5 72B Instruct.

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

2.0yr newer
Qwen2.5 72B Instruct

Sep 19, 2024

2.0 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 Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Qwen2.5 72B Instruct.

Which is better, MiMo-V2.6-Pro or Qwen2.5 72B Instruct?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 12.1. MiMo-V2.6-Pro is made by Xiaomi and Qwen2.5 72B Instruct 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 Qwen2.5 72B Instruct in benchmarks?

MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for MiMo-V2.6-Pro and Qwen2.5 72B Instruct?

MiMo-V2.6-Pro supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K 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 Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (40.6 vs 12.1), multimodal support (yes vs no), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Qwen2.5 72B Instruct?

MiMo-V2.6-Pro is developed by Xiaomi and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.