Model Comparison

Mercury 2 vs Qwen2.5-Omni-7B

Mercury 2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mercury 2 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Mercury 2 significantly outperforms across most benchmarks.

Wed Apr 15 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
Wed Apr 15 2026 • llm-stats.com
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Mercury 2 does not.

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

Mercury 2

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 2 is licensed under a proprietary license, while Qwen2.5-Omni-7B 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

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mercury 2 was released on 2026-02-24, while Qwen2.5-Omni-7B was released on 2025-03-27.

Mercury 2 is 11 months newer than Qwen2.5-Omni-7B.

Mercury 2

Feb 24, 2026

1 months ago

11mo newer
Qwen2.5-Omni-7B

Mar 27, 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

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Key Takeaways

Inception
Larger context window (128,000 tokens)
Higher GPQA score (74.0% vs 30.8%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

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
Qwen2.5-Omni-7B

FAQ

Common questions about Mercury 2 vs Qwen2.5-Omni-7B

Mercury 2 significantly outperforms across most benchmarks. Mercury 2 is made by Inception and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.
Mercury 2 supports 128K tokens and Qwen2.5-Omni-7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Mercury 2 is developed by Inception and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.