Hey Why vs VRAMFit
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Hey Why
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Hey Why is a lightweight SQL EXPLAIN viewer for developers. Run EXPLAIN on your MySQL database or paste EXPLAIN JSON to see why your query behaves the way it does. • Explore execution plans by depth • Instantly see full scans, filesort, and temporary tables • Built for quick discussions without a laptop • Local-only. No cloud. No tracking.
VRAMFit
Determine the largest local large language model that fits your hardware, whether it's an NVIDIA GPU or Apple Silicon Mac. Input your memory, select quantization, and get an instant, accurate answer based on measured model sizes.
- Calculate LLM fit for GPU and Apple Silicon
- Accounts for quantization (4-bit, FP4)
- Includes context length and KV cache costs
- Provides measured, not guessed, model sizes
- Sorts models by what fits and what nearly fits
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Before you download gigabytes of model weights, know whether they'll actually fit. VRAMFit tells you the largest local large language model you can run on your hardware — whether that's an NVIDIA GPU's VRAM or the unified memory on an Apple Silicon Mac. Set your memory, pick a quantization, and get a clear, instant answer. Built for people who run models locally: llama.cpp, Ollama, LM Studio, and anyone deciding what GPU to buy next. MEASURED, NOT GUESSED Most calculators multiply a parameter count by a rule of thumb. VRAMFit ships the real size of the published file for every model at every quantization it is actually released in, and names the exact build each figure came from — so you can check it against the download before you start it. That matters most where rules of thumb break. A ternary model has no 4-bit build to estimate. A natively 4-bit model barely changes size as you move up the scale. VRAMFit says what those models actually weigh, or tells you plainly that the build you picked does not exist. WHAT IT DOES • Enter your VRAM (or Apple Silicon RAM) and instantly see what fits • Sorts the catalog into what runs, what runs one setting down, and what won't • Accounts for quantization — from full precision down to 4-bit and FP4 • Factors in context length and KV cache, the memory costs people usually forget • Switches between discrete GPU and Apple Silicon unified-memory math FREE • The full calculator, with quantization, context, and FP4 • A starter set of models spanning what fits and what nearly fits • GPU and Apple Silicon modes VRAMFit Pro (one-time upgrade) • The complete catalog of 73 current open models, measured • Per-quantization memory breakdown for every model • Advanced tools: KV-cache compression and multi-token prediction estimates PRIVATE BY DESIGN VRAMFit runs entirely on your device. No account, no sign-in, no tracking, and nothing about you leaves your iPhone. The numbers you enter stay with you. Stop guessing whether a model will fit. Check first, download once.
Screenshots
Verdict
Hey Why and VRAMFit are too close to call on the numbers: across 5 compared parameters — price, ads, in-app purchases and device support among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Hey Why | VRAMFit |
|---|---|---|
| Price | Free | Free |
| Rating | — | 5.0 (1 ratings) — better |
| Number of ratings | — | 1 — better |
| Update frequency | — | Every 6 weeks |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Freemium |
| Devices | iPhone, iPad — better | iPhone |
| Requires iOS | 17.6 — better | 18.0 |
| Further details — not scored | ||
| Size | 17 MB | 1 MB |
| Age rating | 4+ | 4+ |
| Developer | JONGMIN CHOI | Sarvesh Anand Kandala |
In-app purchases
Hey Why
No in-app purchases
VRAMFit
No in-app purchases









