Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct leads with 4.9% higher average benchmark score. Mistral NeMo Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Mistral NeMo Instruct is $1.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google'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.
5 months newer
Gemini 1.0 Pro
2024-02-15
Mistral NeMo Instruct
Mistral AI
2024-07-18
Cost per million tokens (USD)
Gemini 1.0 Pro
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 1.0 Pro
Mistral NeMo Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Mistral NeMo Instruct
Gemini 1.0 Pro
Mistral NeMo Instruct
Gemini 1.0 Pro
Mistral NeMo Instruct
Mistral AI