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MiniMax M2 vs Qwen2.5 VL 7B Instruct

MiniMax M2 leads the LLM Stats Score 26.9 to 6.5.

MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniMax M2 leads the overall LLM Stats Score 26.9 to 6.5, ranking #145 overall.

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

Choose MiniMax M2

  • overall performance matters — it scores 26.9 and ranks #145 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2025

Choose Qwen2.5 VL 7B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
26.9
#145
6.5
#291
26.5
#145
3.0
#301
9.5
#123
-3.1
#177
Cost, coverage & limits
Benchmark wins
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M2
Qwen2.5 VL 7B Instruct
19.7#162
3.2#288
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M2 · 32 for Qwen2.5 VL 7B Instruct

No common benchmarks found

MiniMax M2 and Qwen2.5 VL 7B 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

221.7B diff

MiniMax M2 has 221.7B more parameters than Qwen2.5 VL 7B Instruct, making it 2674.4% larger.

MiniMax
MiniMax M2
230.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
230.0B
MiniMax M2
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).

MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas MiniMax M2 does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2 is licensed under MIT, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

MiniMax M2

MIT

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

MiniMax M2 is 9 months newer than Qwen2.5 VL 7B Instruct.

MiniMax M2

Oct 27, 2025

10 months ago

9mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 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 MiniMax M2 and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

MiniMax M2
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about MiniMax M2 vs Qwen2.5 VL 7B Instruct.

Which is better, MiniMax M2 or Qwen2.5 VL 7B Instruct?

MiniMax M2 leads the LLM Stats Score 26.9 to 6.5. MiniMax M2 is made by MiniMax and Qwen2.5 VL 7B 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 MiniMax M2 compare to Qwen2.5 VL 7B Instruct in benchmarks?

MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for MiniMax M2 and Qwen2.5 VL 7B Instruct?

MiniMax M2 supports 1.0M tokens and Qwen2.5 VL 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2 and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (26.9 vs 6.5), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2 and Qwen2.5 VL 7B Instruct?

MiniMax M2 is developed by MiniMax and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.