Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 29.3% higher average benchmark score. DeepSeek-V3 offers 126.1K more tokens in context window than Grok-2. DeepSeek-V3 is $10.63 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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 2024, it represents xAI's latest advancement in AI technology.
4 months newer
Grok-2
xAI
2024-08-13
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V3
Grok-2
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek-V3
Grok-2
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Grok-2
DeepSeek-V3
Grok-2
DeepSeek-V3
Grok-2
xAI