Best GPU for Local AI Reasoning

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026

Ranked for reasoning and multi-step problem solving: Problems that need explicit multi-step thinking: planning, analysis, and chains of inference rather than recall.

Best overall: Intel Arc B580

12 GB VRAM at 456 GB/s. It runs 52 of the models that qualify for this workload; the strongest is Qwen 3 14B at an estimated 33 tokens/sec.

The picks

	GPU	VRAM	MSRP	Models that fit	Best model it runs	Est. speed
Best overall	Intel Arc B580	12 GB	$249	52	Qwen 3 14B	~33 tok/s
Best value	Intel Arc B570	10 GB	$219	51	Qwen 3 14B	~27.8 tok/s
Budget pick	Intel Arc B570	10 GB	$219	51	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	89	GLM-5.1 72B	~4.5 tok/s

Full ranking for reasoning and multi-step problem solving

GPU	Score	VRAM	MSRP	Models fit	Est. speed	Tok/s per watt	Cost per model
Intel Arc B580	77.8	12 GB	$249	52	~33	0.17	$5
Intel Arc B570	76.2	10 GB	$219	51	~27.8	0.19	$4
AMD Radeon RX 7900 XTX	76.1	24 GB	$999	78	~38.3	0.11	$13
NVIDIA GeForce RTX 4090	75.5	24 GB	$1,599	78	~40.1	0.09	$21
NVIDIA GeForce RTX 5090	74.5	32 GB	$1,999	78	~66.6	0.12	$26
AMD Radeon RX 7800 XT	74.2	16 GB	$499	61	~43.9	0.17	$8
AMD Radeon RX 9070	73.9	16 GB	$549	61	~44.9	0.2	$9
NVIDIA GeForce RTX 3090	73.8	24 GB	$1,499	78	~37.4	0.11	$19
NVIDIA GeForce RTX 5070	73.6	12 GB	$549	52	~46.9	0.19	$11
AMD Radeon RX 9070 XT	73.3	16 GB	$599	61	~49.7	0.23	$10
AMD Radeon RX 7900 XT	71.6	20 GB	$899	69	~32.4	0.1	$13
NVIDIA GeForce RTX 3080 (10GB)	71.1	10 GB	$699	51	~52.4	0.16	$14

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.
Reasoning score dominates at 75%. The quality floor is the strictest of any workload (65) because a weak reasoning model is not merely slower — it is confidently wrong. Latency is deliberately down-weighted to 0.3: reasoning models emit long thinking traces, so tokens/sec matters less than whether the conclusion is right.

FAQ

What is the best GPU for reasoning and multi-step problem solving?

The Intel Arc B580 — 12 GB of VRAM runs 52 qualifying models, the strongest being Qwen 3.

What is the cheapest GPU that works for reasoning and multi-step problem solving?

The Intel Arc B570 at $219, which runs 51 qualifying models.

How much VRAM do I need for reasoning and multi-step problem solving?

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.

Best GPU for Local AI Reasoning

The picks

Full ranking for reasoning and multi-step problem solving

How these numbers are calculated

FAQ

What is the best GPU for reasoning and multi-step problem solving?

What is the cheapest GPU that works for reasoning and multi-step problem solving?

How much VRAM do I need for reasoning and multi-step problem solving?

What These GPUs Run

GPU Reviews

Best GPU for Other Workloads

Next Steps