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Qwen2.5-Coder 32B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 4.8% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
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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.
6 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Qwen2.5-Coder 32B Instruct
Average Score:76.5%(+4.8%)
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Qwen2.5-Omni-7B
Average Score:71.7%
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5-Coder 32B Instruct
4 providers
DeepInfra
Throughput: 44 tok/s
Latency: 0.5ms
Fireworks
Throughput: 110 tok/s
Latency: 0.26ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
Lambda
Throughput: 42 tok/s
Latency: 0.5ms
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Qwen2.5-Coder 32B Instruct
Avg Score:76.5%(+4.8%)
Providers:4
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Qwen2.5-Omni-7B
Avg Score:71.7%
Providers:0