+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5 Codex vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 61.1% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Pixtral Large 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.
+
+
+
+
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
10 months newer
Pixtral Large
Mistral AI
2024-11-18
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
+
+
+
+
GPT-5 Codex
Average Score:9.3%
+
+
+
+
Pixtral Large
Average Score:70.4%(+61.1%)
+
+
+
+
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
+
+
+
+
Pixtral Large
1 providers
Mistral AI
+
+
+
+
GPT-5 Codex
Avg Score:9.3%
Providers:0
+
+
+
+
Pixtral Large
Avg Score:70.4%(+61.1%)
Providers:1