Best GPU for Local AI Writing

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for writing and editing: Drafting, rewriting and editing prose where voice and readability matter as much as correctness.

Best overall: NVIDIA GeForce RTX 5070 Ti

16 GB VRAM at 896 GB/s. It runs 64 of the models that qualify for this workload; the strongest is Mistral Small 3.1 24B at an estimated 40.9 tokens/sec.

The picks

GPUVRAMMSRPModels that fitBest model it runsEst. speed
Best overallNVIDIA GeForce RTX 5070 Ti16 GB$74964Mistral Small 3.1 24B~40.9 tok/s
Best valueIntel Arc B57010 GB$21956Gemma 3 12B Instruct~30.2 tok/s
Budget pickIntel Arc B57010 GB$21956Gemma 3 12B Instruct~30.2 tok/s
Most memoryNVIDIA DGX Spark128 GB$4,69992Nemotron 70B Instruct~4.6 tok/s

Full ranking for writing and editing

GPUScoreVRAMMSRPModels fitEst. speedTok/s per wattCost per model
NVIDIA GeForce RTX 5070 Ti63.816 GB$74964~40.90.14$12
NVIDIA GeForce RTX 508061.716 GB$99964~43.50.12$16
AMD Radeon RX 9070 XT60.116 GB$59964~33.30.15$9
NVIDIA GeForce RTX 506057.88 GB$29946~49.50.34$7
AMD Radeon RX 907057.716 GB$54964~300.14$9
AMD Radeon RX 7800 XT57.516 GB$49964~29.30.11$8
NVIDIA GeForce RTX 4080 Super56.716 GB$99964~34.20.11$16
NVIDIA GeForce RTX 4070 Ti Super55.716 GB$79964~31.40.11$12
NVIDIA RTX 6000 Ada Generation55.248 GB$6,79984~15.80.05$81
NVIDIA GeForce RTX 408055.116 GB$1,19964~33.30.1$19
AMD Radeon RX 9060 XT 8GB54.28 GB$29946~36.50.24$7
NVIDIA L40S53.648 GB$7,49984~14.30.04$89

How these numbers are calculated

FAQ

What is the best GPU for writing and editing?

The NVIDIA GeForce RTX 5070 Ti — 16 GB of VRAM runs 64 qualifying models, the strongest being Mistral Small 3.1.

What is the cheapest GPU that works for writing and editing?

The Intel Arc B570 at $219, which runs 56 qualifying models.

How much VRAM do I need for writing and editing?

8 GB is the entry point at which a model for this workload will run at all. More memory buys a stronger model, not just a faster one.

What These GPUs Run

GPU Reviews

Best GPU for Other Workloads

Next Steps

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