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Claude Opus 4.1 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 40.1% higher average benchmark score. Claude Opus 4.1 is available on 4 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K token context window for handling large documents. The model is available through 4 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Claude Opus 4.1
Anthropic
2025-08-05
Performance Metrics
Context window and performance specifications
Average performance across 52 common benchmarks
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Claude Opus 4.1
Average Score:11.2%
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Qwen2.5-Omni-7B
Average Score:51.3%(+40.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude Opus 4.1
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude Opus 4.1
Avg Score:11.2%
Providers:4
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Qwen2.5-Omni-7B
Avg Score:51.3%(+40.1%)
Providers:0