This matchup flips the usual logic: the cheaper card has more memory. The RTX 5060 Ti 16GB undercuts the RTX 5070 on price while offering 16GB of VRAM against the 5070’s 12GB — but the 5070 hits back with meaningfully more compute. For AI, that makes this a genuine “speed versus capacity” decision. Here’s how to call it.
Principaux enseignements
- RTX 5060 Ti 16GB: 16GB GDDR7, 128-bit, 448 GB/s, 759 AI TOPS, ~$429. More VRAM, less speed.
- RTX 5070: 12GB GDDR7, 192-bit, 672 GB/s, 988 AI TOPS, $549. ~20–25% faster, less VRAM.
- For big local LLMs: the 5060 Ti’s 16GB avoids out-of-memory walls the 12GB 5070 hits.
- For speed (Stable Diffusion, smaller models): the 5070 is clearly quicker.
- Verdict: memory-bound LLM users → 5060 Ti 16GB; everyone else → 5070.
Specs side by side
| Spec | RTX 5060 Ti 16GB | RTX 5070 |
|---|---|---|
| VRAM | 16GB GDDR7 | 12GB GDDR7 |
| Memory bus | 128-bit | 192-bit |
| Bandwidth | 448 GB/s | 672 GB/s |
| Cœurs CUDA | 4,608 | 6,144 |
| AI TOPS | 759 | 988 |
| MSRP | ~$429 | $549 |
The 5070 has about 33% more CUDA cores and 50% more memory bandwidth. The 5060 Ti’s counter is simple: 4GB more VRAM for $120 less.
Local LLM performance: the trade-off in numbers
Community benchmarks put the gap in concrete terms. On local LLM inference, the RTX 5070 measured around 150 tokens/sec on a Phi-class model and ~120 tok/s on Mistral, versus the 5060 Ti’s ~121 tok/s and ~91 tok/s respectively — so the 5070 is roughly 20–25% faster when a model fits on both.
The catch is “when it fits.” The 5060 Ti’s 16GB lets it load larger quantized models and longer contexts without spilling to system RAM — and once a model doesn’t fit on the 12GB 5070, its speed advantage evaporates because it’s swapping. So the honest framing is:
- Models that fit in 12GB: the 5070 runs them faster.
- Models between 12GB and 16GB: the 5060 Ti runs them at all; the 5070 chokes.
If you know you want to run 13–14B models with real context, the extra VRAM is worth more than the speed. Use our VRAM requirements guide to see exactly where your target models land.
Stable Diffusion and image generation
Here the 5070 is the clearer pick. In community tests it generates images roughly 20–25% faster thanks to more cores and higher TOPS. The 5060 Ti’s 16GB still helps with very large resolutions or big batches where memory, not speed, is the wall — but for typical diffusion work, the 5070 is quicker.
Which should you buy for AI?
Buy the RTX 5060 Ti 16GB if your priority is running the biggest local LLM your budget allows, you do memory-bound work (long context, larger quants), and you’d rather have headroom than raw speed. It’s a popular pick with hobbyist researchers for exactly this reason.
Buy the RTX 5070 if you want the faster all-rounder, lean toward Stable Diffusion or smaller models, and your LLMs fit comfortably in 12GB. For most general AI use, it’s the better-balanced card.
Want both more VRAM et more speed? Step up to the RTX 5070 Ti’s 16GB, or see the full les meilleurs GPU pour les LLM locaux and our budget AI GPU guide.
FAQ
Is 16GB VRAM worth giving up 20% speed for AI?
If you run memory-bound workloads — larger local LLMs or long context — yes, because the extra 4GB lets you run models the 12GB card can’t, where its speed advantage disappears anyway. If your models fit in 12GB and you value throughput (or do Stable Diffusion), the faster RTX 5070 is better.
Which is faster, the RTX 5060 Ti or RTX 5070?
The RTX 5070, by roughly 20–25% in both LLM token generation and Stable Diffusion, thanks to 33% more CUDA cores and 50% more memory bandwidth. The 5060 Ti’s advantage is capacity (16GB vs 12GB), not speed.
What’s the best budget GPU for local LLMs in 2026?
It depends on your priority. The RTX 5060 Ti 16GB is the value pick for memory-bound LLM work because of its 16GB at ~$429; the RTX 5070 is better for speed and image generation. Both are solid sub-$600 options — see our budget AI GPU guide.
Can the RTX 5060 Ti run 13B and 14B models?
Yes, in quantized form its 16GB comfortably holds 13–14B models with usable context — something the 12GB RTX 5070 struggles with. That memory headroom is the main reason to choose it for AI.
Résultat
This is one of the few GPU matchups where the cheaper card might be the better AI buy. If you’re chasing the largest local LLM you can run, the RTX 5060 Ti 16GB’s memory wins. If you want a faster all-round AI card and your models fit in 12GB, the RTX 5070 is the pick. Decide which wall you’ll hit first — speed or memory — and buy for that.