Model requirements

Mixtral 8x7B GPU Requirements

Mixtral 8x7B usually starts around 24-32 GB in INT4, 45-55 GB in INT8, and 80-96 GB in FP16. A safe production starting point is A100 80GB or 2x 48GB-class GPUs.

Price Mixtral 8x7B Estimate cost

INT4 start: 24-32 GB; Approximate starting range before runtime headroom.
FP16 start: 80-96 GB; Useful for accuracy-first deployments.
Safe GPU floor: A100 80GB or 2x 48GB-class GPUs; A strong default when you want one safe answer fast.

VRAM table

Mixtral 8x7B memory and route profile

Mixtral 8x7B is primarily used for moe inference with stronger quality than smaller dense models. Most teams start with the quickest safe answer for memory fit, then compare which production routes make sense.

Use these ranges as practical planning estimates. Your actual requirements still depend on runtime overhead, batching, and the execution framework.

Precision	Approximate VRAM	Typical route
INT4	24-32 GB	Cheapest healthy route when quality holds
INT8	45-55 GB	Balanced production starting point
FP16	80-96 GB	Accuracy-first route with more headroom

Execution notes

What changes the route in production

A memory-fit answer is only useful if the route is healthy. Pages like this should explain that fit, latency, and route quality all matter once the model goes live.

For Mixtral 8x7B, the most relevant follow-up pages are the cost page and the run-without-GPU page because those are the next practical questions most teams ask.

Higher-quality routing-sensitive endpoints
Teams comparing dense versus MoE tradeoffs

Next step

Take Mixtral 8x7B from research into a real route

Once the fit is clear, price the route and test one workload so you can compare the theory against live capacity.

Open the estimator Run this workload

CostCost to run Mixtral 8x7BCheck the operating range and what changes the bill in production.DocsDocs and execution workflowInspect the API, CLI, and portal paths if you want to run the model immediately.

Related pages

Related model pages

Use the sibling pages below to compare requirements, cost, and remote execution options for this model.

CostCost to run Mixtral 8x7BEstimate hourly and monthly spend for Mixtral 8x7B.ExecutionRun Mixtral 8x7B without a GPUDeployment guidance for running Mixtral 8x7B remotely.LibraryModel requirements and cost hubBrowse the full library of model pages by family, cost, and route type.EstimatorJungle Grid workload estimatorMove from model research into a live estimate and first run.

FAQ

Frequently asked

What GPU do I need for Mixtral 8x7B?

A safe starting answer is A100 80GB or 2x 48GB-class GPUs. Lighter quantized routes can use less memory, but that is the clean default most teams need first.

Can Mixtral 8x7B run on a consumer GPU?

In many cases yes, especially with quantization. The safer answer still depends on the exact precision, runtime overhead, and traffic shape you expect in production.

How can I estimate the cost of running Mixtral 8x7B remotely?

Use the pricing estimator after reviewing the requirements. It can help you compare a remote route with buying or managing hardware directly.