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GPT-5 Codex vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 52.1% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
11 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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GPT-5 Codex
Average Score:6.2%
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Llama 3.2 11B Instruct
Average Score:58.3%(+52.1%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
GPT-5 Codex
2024-09-30
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-5 Codex
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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GPT-5 Codex
Avg Score:6.2%
Providers:0
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Llama 3.2 11B Instruct
Avg Score:58.3%(+52.1%)
Providers:6