Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 25.7% 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. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
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 3 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