Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Grok-4 offers 8.0K more tokens in context window than Command R+. Command R+ is $16.75 cheaper per million tokens. Grok-4 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-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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.
10 months newer
Command R+
Cohere
2024-08-30
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Command R+
Grok-4
Context window and performance specifications
Average performance across 13 common benchmarks
Command R+
Grok-4
Grok-4
2024-12-31
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
Grok-4
Command R+
Grok-4
Grok-4
xAI
ZeroEval