+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 14.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
1 year newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:36.2%
+
+
+
+
Qwen2.5-Omni-7B
Average Score:50.4%(+14.2%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
+
+
+
+
Qwen2.5-Omni-7B
+
+
+
+
Gemini 1.0 Pro
Avg Score:36.2%
Providers:1
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:50.4%(+14.2%)
Providers:0