Mercury 2 vs Qwen3.5-2B Comparison

Comparing Mercury 2 and Qwen3.5-2B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mercury 2 outperforms in 2 benchmarks (GPQA, IFBench), while Qwen3.5-2B is better at 0 benchmarks.

Mercury 2 significantly outperforms across most benchmarks.

Mon Mar 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Mar 16 2026 • llm-stats.com
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Alibaba Cloud / Qwen Team
Qwen3.5-2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Mercury 2 specifies input context (128,000 tokens). Only Mercury 2 specifies output context (8,192 tokens).

Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-2B
Input- tokens
Output- tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-2B supports multimodal inputs, whereas Mercury 2 does not.

Qwen3.5-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mercury 2

Text
Images
Audio
Video

Qwen3.5-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 2 is licensed under a proprietary license, while Qwen3.5-2B uses Apache 2.0.

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

Mercury 2

Proprietary

Closed source

Qwen3.5-2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mercury 2 was released on 2026-02-24, while Qwen3.5-2B was released on 2026-03-02.

Qwen3.5-2B is 0 month newer than Mercury 2.

Mercury 2

Feb 24, 2026

2 weeks ago

Qwen3.5-2B

Mar 2, 2026

2 weeks ago

6d newer

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

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Key Takeaways

Larger context window (128,000 tokens)
Higher GPQA score (74.0% vs 51.6%)
Higher IFBench score (71.0% vs 41.3%)
Alibaba Cloud / Qwen Team

Qwen3.5-2B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Inception
Mercury 2
Alibaba Cloud / Qwen Team
Qwen3.5-2B