RTX 5070 Ti vs RTX 5080 for LLMs: Same 16GB, Different Value

The RTX 5070 Ti and RTX 5080 are the two 16GB Blackwell cards most local-AI builders weigh against each other. Both run the same 14B-class models at Q4, both use GDDR7, and they sit $250 apart. The real question is whether the 5080's extra speed is worth the premium for LLM inference.

GPU5 categories compared

Verdict

NVIDIA RTX 5070 Ti (16 GB)

The RTX 5070 Ti is the better value for local AI. Both cards run the same 14B models on 16GB, and the 5080 is only about 8% faster (an estimated 94 vs 87 tok/s on 8B) for $250 more. Unless you want the absolute fastest 16GB card, the 5070 Ti delivers roughly 93% of the speed at 75% of the price. Choose the 5080 only if maximum throughput matters more than cost.

NVIDIA RTX 5070 Ti (16 GB)

wins

Ties

draws

NVIDIA RTX 5080 (16 GB)

wins

Category-by-Category Breakdown

Category	NVIDIA RTX 5070 Ti (16 GB)	NVIDIA RTX 5080 (16 GB)	Winner
VRAM & Max Model Size	16 GB GDDR7 — runs 14B at Q4	16 GB GDDR7 — runs 14B at Q4	Tie
Memory Bandwidth	896 GB/s	960 GB/s	NVIDIA RTX 5080 (16 GB)
Estimated Speed (8B)	~87 tok/s (est.)	~94 tok/s (est.)	NVIDIA RTX 5080 (16 GB)
Price	$749 MSRP	$999 MSRP	NVIDIA RTX 5070 Ti (16 GB)
Value for Local AI ($/tok/s)	Best 16GB value	Premium for marginal speed	NVIDIA RTX 5070 Ti (16 GB)

Detailed Analysis

VRAM & Max Model Size

Tie

Identical capacity. Both fit 14B Q4 models with room for context, and both need to step down to Q3 for 27B-class models. For model size, there is no difference.

NVIDIA RTX 5070 Ti (16 GB)

16 GB GDDR7 — runs 14B at Q4

NVIDIA RTX 5080 (16 GB)

16 GB GDDR7 — runs 14B at Q4

Memory Bandwidth

NVIDIA RTX 5080 (16 GB)

The 5080 has about 7% more bandwidth. Since LLM token generation is bandwidth-bound, this is the main driver of its small speed edge.

NVIDIA RTX 5070 Ti (16 GB)

896 GB/s

NVIDIA RTX 5080 (16 GB)

960 GB/s

Estimated Speed (8B)

NVIDIA RTX 5080 (16 GB)

ModelFit estimates put the 5080 about 8% ahead on an 8B model. Both feel instant for interactive chat; the gap matters most for batch processing.

NVIDIA RTX 5070 Ti (16 GB)

~87 tok/s (est.)

NVIDIA RTX 5080 (16 GB)

~94 tok/s (est.)

Price

NVIDIA RTX 5070 Ti (16 GB)

The 5070 Ti costs $250 less. For AI-only use, that gap buys little extra capability since both run the same model sizes.

NVIDIA RTX 5070 Ti (16 GB)

$749 MSRP

NVIDIA RTX 5080 (16 GB)

$999 MSRP

Value for Local AI ($/tok/s)

NVIDIA RTX 5070 Ti (16 GB)

The 5070 Ti delivers roughly 93% of the speed at 75% of the price. For most local-AI builds, that is the clear value pick.

NVIDIA RTX 5070 Ti (16 GB)

Best 16GB value

NVIDIA RTX 5080 (16 GB)

Premium for marginal speed

Frequently Asked Questions

Is the RTX 5080 worth $250 more than the 5070 Ti for AI?

For local LLMs, usually not. Both have 16GB VRAM and run the same 14B models. The 5080 is only about 8% faster (an estimated 94 vs 87 tok/s), so the 5070 Ti is the better value unless you specifically need maximum throughput.

Do the RTX 5070 Ti and RTX 5080 run the same models?

Yes. Both have 16GB GDDR7 VRAM, so both run 14B-class models at Q4 quantization and need Q3 for larger 27B models. The difference is speed, not model size.

Which is faster, the RTX 5070 Ti or RTX 5080?

The RTX 5080 is faster — ModelFit estimates about 94 tok/s on 8B vs 87 tok/s for the 5070 Ti, tracking its higher 960 GB/s bandwidth (vs 896 GB/s). Both numbers are estimates, not measured benchmarks.

What if I want to run 32B models?

Neither 16GB card runs 32B at Q4 comfortably — you would need Q3 quantization or a 24GB card like the RTX 3090. See the RTX 3090 and RTX 4090 pages for 32B-capable options.