The AI arena is free today

Open Superagent

Mercury 3 vs Qwen2.5 VL 7B Instruct

Mercury 3 leads the LLM Stats Score 36.1 to 6.1.

Inception · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 6.1, 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 and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5 VL 7B Instruct

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

At a glance

The differences that matter most.

Mercury 3
Inception
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
36.1
#98
6.1
#318
Reasoning
34.8
#103
2.6
#328
Agents
19.4
#84
-3.2
#205
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.35 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mercury 3
Qwen2.5 VL 7B Instruct
Long context
23.0#18
0.4#122
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Mercury 3 · 32 for Qwen2.5 VL 7B Instruct

No common benchmarks found

Mercury 3 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

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
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas Mercury 3 does not.

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

Mercury 3

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 3 is licensed under a proprietary license, 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.

Mercury 3

Proprietary

Closed source

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mercury 3 was released on 2026-10-19, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Mercury 3 is 21 months newer than Qwen2.5 VL 7B Instruct.

Mercury 3

Oct 19, 2026

1 days ago

1.7yr newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.7 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?

Judge for yourself.

Run your own prompts against Mercury 3 and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Mercury 3
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about Mercury 3 vs Qwen2.5 VL 7B Instruct.

Which is better, Mercury 3 or Qwen2.5 VL 7B Instruct?

Mercury 3 leads the LLM Stats Score 36.1 to 6.1. Mercury 3 is made by Inception 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 Mercury 3 compare to Qwen2.5 VL 7B Instruct in benchmarks?

Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%. 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 Mercury 3 and Qwen2.5 VL 7B Instruct?

Mercury 3 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 Mercury 3 and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (36.1 vs 6.1), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mercury 3 and Qwen2.5 VL 7B Instruct?

Mercury 3 is developed by Inception and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons