Best GPU for Local AI Mathematics

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for mathematics and quantitative work: Symbolic and numerical problem solving, proofs, and step-by-step quantitative reasoning.

Best overall: Intel Arc B580

12 GB VRAM at 456 GB/s. It runs 50 of the models that qualify for this workload; the strongest is Qwen 3 14B at an estimated 33 tokens/sec.

The picks

GPUVRAMMSRPModels that fitBest model it runsEst. speed
Best overallIntel Arc B58012 GB$24950Qwen 3 14B~33 tok/s
Best valueIntel Arc B57010 GB$21949Qwen 3 14B~27.8 tok/s
Budget pickIntel Arc B57010 GB$21949Qwen 3 14B~27.8 tok/s
Most memoryNVIDIA DGX Spark128 GB$4,69987Qwen 3 32B~9.6 tok/s

Full ranking for mathematics and quantitative work

GPUScoreVRAMMSRPModels fitEst. speedTok/s per wattCost per model
Intel Arc B58069.912 GB$24950~330.17$5
NVIDIA RTX 6000 Ada Generation69.748 GB$6,79979~320.11$86
Intel Arc B57068.310 GB$21949~27.80.19$4
NVIDIA L40S66.748 GB$7,49979~290.08$95
AMD Radeon RX 7800 XT66.316 GB$49957~43.90.17$9
AMD Radeon RX 90706616 GB$54957~44.90.2$10
NVIDIA GeForce RTX 509065.732 GB$1,99974~57.40.1$27
NVIDIA GeForce RTX 507065.612 GB$54950~46.90.19$11
AMD Radeon RX 9070 XT65.316 GB$59957~49.70.23$11
NVIDIA GeForce RTX 3080 (10GB)63.210 GB$69949~52.40.16$14
NVIDIA GeForce RTX 5070 Ti62.916 GB$74957~60.50.2$13
NVIDIA GeForce RTX 4070 Ti Super62.716 GB$79957~46.90.16$14

How these numbers are calculated

FAQ

What is the best GPU for mathematics and quantitative work?

The Intel Arc B580 — 12 GB of VRAM runs 50 qualifying models, the strongest being Qwen 3.

What is the cheapest GPU that works for mathematics and quantitative work?

The Intel Arc B570 at $219, which runs 49 qualifying models.

How much VRAM do I need for mathematics and quantitative work?

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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