Model ID
mistralai/Mistral-Large-3-675B-Instruct-2512
Capabilities
Mistral Large 3 675B Instruct 2512
Mistral Large 3 675B Instruct 2512 is a large-scale multimodal Mixture-of-Experts (MoE) model designed for instruction following, agentic workflows, and long-context understanding. It has 675B total parameters with about 41B activated, using a 61-layer transformer with 128 attention heads and a 7,168 hidden size. The architecture includes 128 experts with 4 selected per token and supports a context window of ~294K tokens. It also integrates a 2.5B vision encoder and FP8 quantization, enabling efficient deployment and strong performance across text and vision tasks.
About this model
Mistral Large 3 675B Instruct 2512 is a large-scale multimodal Mixture-of-Experts (MoE) model designed for instruction following, agentic workflows, and long-context understanding. It has 675B total parameters with about 41B activated, using a 61-layer transformer with 128 attention heads and a 7,168 hidden size. The architecture includes 128 experts with 4 selected per token and supports a context window of ~294K tokens. It also integrates a 2.5B vision encoder and FP8 quantization, enabling efficient deployment and strong performance across text and vision tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (mistralai/Mistral-Large-3-675B-Instruct-2512). Released under Apache 2.0. Further reading: Blog
Deploy Private Inference Endpoint
Choose your hardware and inference engine to get deployment commands and performance benchmarks tailored to your infrastructure
Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
Access Restricted
Enter your email to get access to this content
Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
Unlock Next-Generation AI Power on Vultr Cloud GPU