External quality + local proof + buy path

Choose the model frontier.Buy the GPU that actually earns it.

External evaluations provide model-quality references. Hardware recommendations require a memory estimate and a matching proxy record with documented runtime settings.

Open model shortlist

12

Pulled from the current OpenEvals snapshot.

Tested GPUs

57

Benchmark-backed devices across consumer, pro, datacenter, and Apple silicon.

Owner-reported captures

2

Real machine-generated evidence, not brochure copy.

Snapshot freshness

May 28, 2026

External quality layer generation date.

1. Pick an external target model

High-quality local open models

Snapshot live

2. How we translate model quality into hardware picks

microsoft/Phi-3-medium-4k-instruct

We use external evals for model quality, estimate Q4 VRAM from parameter size, then rank GPUs with measured local throughput on the nearest tested workload class.

OpenEvals score

91.0

1 covered tasks

Estimated Q4 VRAM

8.4 GB

Approximate fit estimate

Proxy benchmark

Qwen 2.5 14B

14B-class proxy for serious coding and assistant workloads on 16GB-to-24GB cards.

LiveBench match

No direct match

Frontier references still shown below

Trust line

Fit is estimated from parameter size. Speed rankings use the same proxy workload, quantization, context, batch size and recorded runtime. Missing matches are excluded. A proxy result does not measure the selected model; consult the evidence label and source.

3. Buying lane

4. Ranking mode

Best overall path

No qualifying card in this lane yet.

Best value path

No qualifying card in this lane yet.

Cheapest real entry

No qualifying card in this lane yet.

Recommended hardware

Best GPUs for microsoft/Phi-3-medium-4k-instruct

These cards combine inferred model fit with measured local throughput. Proxy workload: Qwen 2.5 14B. Any buy button below preserves your `fredoline-20` Amazon affiliate tag.

No recommendation cards survived the current fit and hardware-lane filters. Try switching to `All lanes` or `Datacenter`.

Public trust layer

Freshness, sources, and confidence

`OpenEvals` drives the open-model shortlist, `LM Arena` shows the broader community preference frontier, and `LiveBench` adds a live task-performance reference. We do not pretend those hosted snapshots are the same thing as local hardware proof.

Speed references come from attributed reports. A proxy is a different workload used only when matching settings exist; it is not a measurement of the selected model. Owner captures are not independent replication.

Owner-reported evidence

Published capture summaries

Owner report
No owner capture matches the current recommendation set.

Current ingest includes your RTX 5080 local sweep. As new verified runs land, this section can become the strongest trust moat on the entire site.

What to do next

Move from this recommendation to deeper evidence

Compare specific cards, inspect the benchmark tables, or jump into the builder if you are balancing a full workstation instead of a standalone GPU buy.