Comprehensive side-by-side LLM comparison
Command R+ leads with 1.7% higher average benchmark score. Command R+ offers 120.0K more tokens in context window than Grok-3. Command R+ is $16.75 cheaper per million tokens. Grok-3 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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.
5 months newer
Command R+
Cohere
2024-08-30
Grok-3
xAI
2025-02-17
Cost per million tokens (USD)
Command R+
Grok-3
Context window and performance specifications
Average performance across 11 common benchmarks
Command R+
Grok-3
Grok-3
2024-11-17
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
Grok-3
Command R+
Grok-3
Grok-3
xAI