Llama 4 Maverick 17B Instruct vs Mistral Large 2

On shared benchmark coverage, Chatbot Arena has Llama 4 Maverick 17B Instruct at 1365 and Mistral Large 2 at 1265, with Llama 4 Maverick 17B Instruct ahead by 100 points. The largest visible gap is 100 points on Chatbot Arena, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Mistral Large 2, function calling: Mistral Large 2, and tool use: Mistral Large 2. Both models share multimodal input and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Llama 4 Maverick 17B Instruct lists $0.24/1M input and $0.97/1M output tokens, while Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct lower by about $0.6 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.

Choose Llama 4 Maverick 17B Instruct when provider fit and lower input-token cost are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.