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Mistral Large 4 vs Qwen2-VL-72B-Instruct

Mistral Large 4 leads the LLM Stats Score 46.4 to 14.3.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.4 to 14.3, ranking #33 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.4 and ranks #33 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2-VL-72B-Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
46.4
#33
14.3
#252
Reasoning
44.0
#42
11.6
#267
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Mistral Large 4
Qwen2-VL-72B-Instruct
Vision
1.1#186
10.5#128
Multimodal
1.7#159
11.5#120
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Mistral Large 4 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Mistral Large 4 and Qwen2-VL-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

976.6B diff

Mistral Large 4 has 976.6B more parameters than Qwen2-VL-72B-Instruct, making it 1330.5% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
1050.0B
Mistral Large 4
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Mistral Large 4

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Mistral Large 4 is 26 months newer than Qwen2-VL-72B-Instruct.

Mistral Large 4

Oct 6, 2026

1 days ago

2.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Mistral Large 4's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Mistral Large 4

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Qwen2-VL-72B-Instruct.

Which is better, Mistral Large 4 or Qwen2-VL-72B-Instruct?

Mistral Large 4 leads the LLM Stats Score 46.4 to 14.3. Mistral Large 4 is made by Mistral AI and Qwen2-VL-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 Mistral Large 4 compare to Qwen2-VL-72B-Instruct in benchmarks?

Mistral Large 4 scores CyBench: 93.0%, SciCode: 91.8%, CyberGym: 82.0%, Finch (FinWorkBench): 67.4%, ChartQAPro: 63.1%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Mistral Large 4 and Qwen2-VL-72B-Instruct?

Mistral Large 4 supports 1.0M tokens and Qwen2-VL-72B-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 Mistral Large 4 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (46.4 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Qwen2-VL-72B-Instruct?

Mistral Large 4 is developed by Mistral AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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