RedHatAI · 14.8B parameters · 16.4K context · commercial OK
Local (your GPU) $0 · ~14 GB VRAM | Rent a GPU from $0.12/hr | Your API key $0.22/1M est. |
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Already have 14 GB of VRAM? Run Q4_K_M locally for $0 compute. Check the estimated hardware fit →
No matching GPU? For the same representative session, the chosen rented GPU is about $0.18 at $0.12/hr. Open Vast.ai at its current rate →
Decision basis: 4,000 input + 2,000 output tokens, rate table dated 2026-08-10. Size-based API estimates never beat a provider-sourced rate here; referral status never changes the winner.
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phi 4 quantized.w4a16 — 14.8B params (RedHatAI).
At $0.22/1M tokens, the cheapest API for phi 4 quantized.w4a16 stays cheaper than a used RTX 3090 at any daily volume — electricity alone costs more per token than the API does.
Local is never $0 — every figure here includes electricity and hardware amortization. Speeds come from published 7-8B Q4 benchmarks (your model, quant, and context will differ); break-even volumes are rounded to 2 significant figures.
| Parameters | 14.8B |
|---|---|
| Context window | 16.4K tokens |
| Recommended quant | Q4_K_M |
| VRAM requirement | ~14 GB (at Q4_K_M, 16.4K context) |
| Download size | ~9 GB |
| License | Commercial use OK |
Open the free LLM cost calculator → to model your workload, monthly cost, and break-even assumptions.
Three paths: $0 marginal compute on already-owned hardware if the calculated 14 GB VRAM baseline at Q4_K_M fits your exact build and runner (electricity and allocated hardware excluded); a rented GPU from $0.12/hr (2× NVIDIA RTX 3060 12GB at the direct Vast.ai price); or about $0.22 per 1M blended tokens via your own API key (a rough estimate for this size). Spanvero adds $0 markup on every path.
Spanvero calculates a baseline of about 14 GB of VRAM/unified memory for phi 4 quantized.w4a16 at Q4_K_M with 16.4K context. Actual fit depends on the exact build, runner, context, and overhead. After download it can run offline; marginal compute can be $0 on hardware you already own, excluding electricity and allocated hardware cost.
Spanvero calculates about 14 GB of VRAM/unified memory for phi 4 quantized.w4a16 at Q4_K_M; actual fit depends on the exact build, runner, context, and overhead. The smallest tracked consumer preset above that baseline is NVIDIA RTX 4060 Ti 16GB, but verify your configuration before downloading.
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Spanvero · What's new · Prices as of 2026-08-10. We're an honest advisor — $0 markup, your own accounts, we never resell compute. Catalog specs auto-indexed from the Hugging Face Hub — parameter count is exact; download size and quantizations are estimates. © 2026 Cynosure LLC.
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