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Mercury 3 vs Qwen3 VL 32B Thinking

Mercury 3 leads the LLM Stats Score 36.1 to 23.2.

Inception · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 23.2, ranking #98 overall.

In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Core performance indexes
36.1
#98
23.2
#198
34.8
#103
24.3
#179
19.4
#84
12.8
#119
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.35 / M
— / M
Context window
1,000,000
—

Individual benchmarks

12 reported for Mercury 3 · 47 for Qwen3 VL 32B Thinking

1 shared

Mercury 3 outperforms in 1 benchmarks (GPQA), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Mercury 3 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

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
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 32B Thinking supports multimodal inputs, whereas Mercury 3 does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mercury 3

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 3 is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mercury 3 was released on 2026-10-19, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Mercury 3 is 13 months newer than Qwen3 VL 32B Thinking.

Mercury 3

Oct 19, 2026

1 days ago

1.1yr newer
Qwen3 VL 32B Thinking

Sep 22, 2025

1.1 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 Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Mercury 3
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Mercury 3 vs Qwen3 VL 32B Thinking.

Which is better, Mercury 3 or Qwen3 VL 32B Thinking?

Mercury 3 leads the LLM Stats Score 36.1 to 23.2. Mercury 3 is made by Inception and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking in benchmarks?

Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Mercury 3 and Qwen3 VL 32B Thinking?

Mercury 3 supports 1.0M tokens and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (36.1 vs 23.2), 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 Qwen3 VL 32B Thinking?

Mercury 3 is developed by Inception and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.