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Mercury 3 vs Qwen2-VL-72B-Instruct

Mercury 3 leads the LLM Stats Score 36.1 to 13.9.

Inception · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 13.9, ranking #98 overall.

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

Choose Mercury 3

  • overall performance matters — it scores 36.1 and ranks #98 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.

Mercury 3
Inception
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
36.1
#98
13.9
#263
Reasoning
34.8
#103
11.2
#278
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.35 / M
— / M
Context window
1,000,000
—

Individual benchmarks

12 reported for Mercury 3 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Mercury 3 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

Context Window

Maximum input and output token capacity

Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Mercury 3 does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mercury 3

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 3 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.

Mercury 3

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mercury 3 was released on 2026-10-19, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Mercury 3 is 26 months newer than Qwen2-VL-72B-Instruct.

Mercury 3

Oct 19, 2026

0 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 Mercury 3'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 Mercury 3's cutoff date.

Mercury 3

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mercury 3 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Mercury 3
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Mercury 3 vs Qwen2-VL-72B-Instruct.

Which is better, Mercury 3 or Qwen2-VL-72B-Instruct?

Mercury 3 leads the LLM Stats Score 36.1 to 13.9. Mercury 3 is made by Inception 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 Mercury 3 compare to Qwen2-VL-72B-Instruct in benchmarks?

Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%. 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 Mercury 3 and Qwen2-VL-72B-Instruct?

Mercury 3 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 Mercury 3 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (36.1 vs 13.9), multimodal support (no vs yes), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Mercury 3 and Qwen2-VL-72B-Instruct?

Mercury 3 is developed by Inception and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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