Comprehensive side-by-side LLM comparison
GPT-3.5 Turbo leads with 2.4% higher average benchmark score. Mistral Small 3.1 24B Base offers 235.5K more tokens in context window than GPT-3.5 Turbo. Mistral Small 3.1 24B Base is $1.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
GPT-3.5 Turbo
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 10 common benchmarks
GPT-3.5 Turbo
Mistral Small 3.1 24B Base
GPT-3.5 Turbo
2021-09-30
Available providers and their performance metrics
GPT-3.5 Turbo
Azure
OpenAI
GPT-3.5 Turbo
Mistral Small 3.1 24B Base
GPT-3.5 Turbo
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Base
Mistral AI