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GPT-5 Codex vs Grok-3
Comprehensive side-by-side LLM comparison
Grok-3 leads with 59.0% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Grok-3 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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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K 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 2025, it represents xAI's latest advancement in AI technology.
7 months newer
Grok-3
xAI
2025-02-17
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-5 Codex
Average Score:12.4%
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Grok-3
Average Score:71.4%(+59.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
Grok-3
2024-11-17
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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Grok-3
1 providers
xAI
Throughput:
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GPT-5 Codex
Avg Score:12.4%
Providers:0
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Grok-3
Avg Score:71.4%(+59.0%)
Providers:1