llamaperf

VRAM Calculator

Pick your GPU or Mac and what you use models for. Every open-weight model the site knows is sized for your hardware, graded on fit, given a speed estimate from its memory bandwidth, and ranked by how well it matches the job. A Mac is graded against the memory macOS lets its GPU use, not all of it. Where community benchmarks exist on the same card, the measured number replaces the estimate.

On the AMD Radeon AI PRO R9700 32GB: Top match: Qwen3.5 13B at Q8_0, Perfect fit. About 27.1 t/s (estimated). As of 26 Oct 2026.

Hardware

32 GB VRAM·32 GB system RAM·640 GB/s·191 TFLOPS fp16

Balanced: quality first, then speed.

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What people with 32 GB of VRAM actually run: best local LLMs for 32 GB of VRAM →

45 perfect·73 good·5 marginal·33 too tight
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Nobody has reported Qwen3.5 13B on the AMD Radeon AI PRO R9700 32GB yet.

Memory assumes an F16 KV cache at 32k context; Perfect is under 60% of the pool, Good under 85%, Marginal under 98%. Offload paths cap at Good. Speed is the memory bandwidth divided by the bytes read per token, at 55% efficiency (llmfit's generic figure); a community median at the same quant replaces it. Click a row for the breakdown.

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