Best GPU for Local AI Vision
Written by Jakub Rusinowski · Last updated October 7, 2026
Ranked for vision and image understanding: Reading images, screenshots, charts and diagrams alongside text.
Best overall: Intel Arc Pro B70
32 GB VRAM at 608 GB/s. It runs 37 of the models that qualify for this workload; the strongest is Qwen 3.7 35B-A3B at an estimated 120.8 tokens/sec.
The picks
| GPU | VRAM | MSRP | Models that fit | Best model it runs | Est. speed | |
|---|---|---|---|---|---|---|
| Best overall | Intel Arc Pro B70 | 32 GB | $949 | 37 | Qwen 3.7 35B-A3B | ~120.8 tok/s |
| Best value | Intel Arc B570 | 10 GB | $219 | 20 | Qwen 3.5 14B | ~29.1 tok/s |
| Budget pick | Intel Arc B570 | 10 GB | $219 | 20 | Qwen 3.5 14B | ~29.1 tok/s |
| Most memory | NVIDIA DGX Spark | 128 GB | $4,699 | 42 | Qwen 3.5 72B | ~4.5 tok/s |
Full ranking for vision and image understanding
| GPU | Score | VRAM | MSRP | Models fit | Est. speed | Tok/s per watt | Cost per model |
|---|---|---|---|---|---|---|---|
| Intel Arc Pro B70 | 82.4 | 32 GB | $949 | 37 | ~120.8 | 0.54 | $26 |
| AMD Radeon RX 7900 XTX | 81 | 24 GB | $999 | 37 | ~164.8 | 0.46 | $27 |
| AMD Radeon AI PRO R9700 | 80.3 | 32 GB | $1,299 | 37 | ~125.4 | 0.42 | $35 |
| NVIDIA GeForce RTX 3090 | 79.5 | 24 GB | $1,499 | 37 | ~162.2 | 0.46 | $41 |
| NVIDIA GeForce RTX 4090 | 78.8 | 24 GB | $1,599 | 37 | ~169.9 | 0.38 | $43 |
| NVIDIA GeForce RTX 3090 Ti | 78.2 | 24 GB | $1,999 | 37 | ~169.9 | 0.38 | $54 |
| NVIDIA GeForce RTX 5090 | 77.9 | 32 GB | $1,999 | 37 | ~233 | 0.41 | $54 |
| AMD Radeon RX 7900 XT | 69.9 | 20 GB | $899 | 33 | ~28.6 | 0.09 | $27 |
| Intel Arc B580 | 64.8 | 12 GB | $249 | 21 | ~34.5 | 0.18 | $12 |
| Intel Arc B570 | 62.9 | 10 GB | $219 | 20 | ~29.1 | 0.19 | $11 |
| AMD Radeon RX 7800 XT | 59.9 | 16 GB | $499 | 25 | ~45.9 | 0.17 | $20 |
| AMD Radeon RX 9070 | 59.5 | 16 GB | $549 | 25 | ~47 | 0.21 | $22 |
How these numbers are calculated
- GPUs are scored on four axes: capability (45%), speed (30%), value (20%) and efficiency (5%), each normalised across the whole ranking.
- Capability means the intrinsic strength of the best model the card can hold — not how many models fit, and not how fast it streams a small one.
- Speed is capped at 40 tok/s: past that, more throughput does not change how the model feels to use.
- Apple Silicon is excluded from this ranking. Those entries price a whole computer and rate a chip's package power, so on price-per-capability and performance-per-watt they would beat every add-in card by construction. Apple hardware is covered on the macOS platform page instead.
- Vision capability is a hard gate — text-only models are excluded outright rather than penalised, so this ranking is drawn from a genuinely different candidate pool than every other workload here.
FAQ
What is the best GPU for vision and image understanding?
The Intel Arc Pro B70 — 32 GB of VRAM runs 37 qualifying models, the strongest being Qwen 3.7.
What is the cheapest GPU that works for vision and image understanding?
The Intel Arc B570 at $219, which runs 20 qualifying models.
How much VRAM do I need for vision and image understanding?
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
- Best models for the Intel Arc Pro B70
- Best models for the Intel Arc B570
- Best models for the NVIDIA DGX Spark
GPU Reviews
- Intel Arc Pro B70 review
- AMD Radeon RX 7900 XTX review
- AMD Radeon AI PRO R9700 review
- NVIDIA GeForce RTX 3090 review