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GPT-4o vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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Alibaba / Qwen
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
4 months newer
GPT-4o
OpenAI
2024-05-13
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4o
2024-04
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
1 providers
OpenAI
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Qwen2.5 14B Instruct
0 providers
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GPT-4o
Avg Score:0.0%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:0.0%
Providers:0