Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct leads with 4.9% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $17.70 cheaper per million tokens. Grok-4 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
11 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 15 common benchmarks
Grok-4
Mistral NeMo Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Mistral NeMo Instruct
Grok-4
Mistral NeMo Instruct
Mistral NeMo Instruct
Mistral AI