+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5 Codex vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 56.4% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Meta's latest advancement in AI technology.
5 months newer
Llama 4 Scout
Meta
2025-04-05
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
+
+
+
+
GPT-5 Codex
Average Score:5.7%
+
+
+
+
Llama 4 Scout
Average Score:62.1%(+56.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
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
+
+
+
+
GPT-5 Codex
0 providers
+
+
+
+
Llama 4 Scout
6 providers
DeepInfra
+
+
+
+
GPT-5 Codex
Avg Score:5.7%
Providers:0
+
+
+
+
Llama 4 Scout
Avg Score:62.1%(+56.4%)
Providers:6