The RTX 5060 Ti 16 GB is the $550 sweet spot.

What it actually runs, measured

From our calibration table:

• Llama 3.1 8B Instruct Q4_K_M — 2,387 PP / 59.9 TG tok/s. 565 ms time-to-first-token. The “coding assistant at fluent speed” benchmark, verified.
• Qwen3 14B Q4_K_M — ~45 TG tok/s with 4K context. Fits with ~5 GB headroom for context extension.
• gpt-oss-20B (MXFP4 native) — ~12 GB on disk in OpenAI’s native MXFP4; fits comfortably on 16 GB with room for context, runs at ~40 tok/s.

What it doesn’t run: the 24-GB-tier MoE picks (Qwen3-Coder-30B-A3B at Q4 ≈ 17 GB, Qwen 3.5 35B-A3B ≈ 17 GB). For those, you need 24 GB VRAM or switch to Mac unified memory.

The 8 GB vs 16 GB math that matters

The RTX 5060 Ti ships in 8 GB and 16 GB variants — $379 and $429 MSRP respectively, roughly $475 and $550 street.Buy the 16 GB. The $75 delta is the best AI-dollar you’ll ever spend.

At 8 GB you’re capped at 7–8B Q4 models. At 16 GB you open up Qwen3 14B dense, Qwen 3.5 9B with 64K context, gpt-oss-20B at MXFP4, and honest headroom for image generation (SANA-0.6B fits comfortably, SD 3.5 Medium quantized, FLUX.2 klein 4B).

If the budget says $500 — get the 16 GB. If the budget says $400 — wait two months and get the 16 GB.

Buy it if

• You’re building your first local-AI rig and the budget tops out under $1,500. This is the right GPU at the right price.
• You want a dedicated inference + light-gaming card in a standard mid-tower. 180 W TDP is mild; any 650 W PSU handles it.
• Your use cases are coding (14B dense), chat (Qwen 3.5 9B long-context), lightweight docs, and some image-gen experimentation. 16 GB covers all of these.
• You already have a 4060 or 4070 and want a genuine upgrade — 16 GB of GDDR7 at 448 GB/s is a material step up from 8 GB or 12 GB GDDR6.

Don’t buy it if

• You can stretch to a used RTX 4090 ($1,600–$2,400). 24 GB unlocks the MoE tier, which is genuinely different class. If the budget gets there, spend it.
• Image generation is primary. FLUX.2 dev and HiDream-I1 Full need 24 GB+. 16 GB with FP8 works but you’ll hit limits fast.
• You’re chasing 70B. 70B dense Q4 is ~40 GB. Dual 3090s are the value path there.
• You have a laptop. 5060 Ti is a desktop card. Mobile equivalents are materially slower thermal-capped variants.

Where to buy in June 2026

Stock is normal through Amazon, Newegg, and Best Buy at $549–$579 for the 16 GB variant. Used market via BestValueGPU shows ~$490, a small discount that compounds against the lost warranty. Unless the savings are material, buy new.

Watchout: the 8 GB variant uses the same model number. Verify “16 GB” explicitly on the listing before adding to cart.

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