The NVIDIA GeForce RTX 3080 and NVIDIA GeForce RTX 5080 often end up on the same shopping shortlist. This head-to-head pulls spec deltas, gaming FPS, AI inference tok/s, and synthetic scores from the live SpecPicks benchmark database, plus a decision matrix at the end.
Specs side by side
| NVIDIA GeForce RTX 3080 | NVIDIA GeForce RTX 5080 | |
|---|---|---|
| Manufacturer | NVIDIA | NVIDIA |
| Family | Ampere | Blackwell |
| Release year | 2020 | 2025 |
| MSRP | $699 | $999 |
| VRAM | 10 GB GDDR6X | 16 GB GDDR7 |
| Shader units | 8704 | 10752 |
| TDP | 320 W | 360 W |
Price delta: the NVIDIA GeForce RTX 3080 is $300 cheaper than the NVIDIA GeForce RTX 5080.
Power and thermals
TDP: NVIDIA GeForce RTX 3080 320W vs NVIDIA GeForce RTX 5080 360W. That's a 40W delta. Over 4 hours a day, 365 days — roughly 9 USD/yr in electricity at $0.15/kWh. Plan your PSU at least 1.5x peak draw.
Decision matrix
| Get the NVIDIA GeForce RTX 3080 if | Get the NVIDIA GeForce RTX 5080 if |
|---|---|
| You need the most VRAM / cores in the comparison | Budget is tighter |
| Your workload scales with memory bandwidth | You want better perf-per-dollar |
| You're on a 2020-era platform anyway | You're keeping an older platform |
| You prioritize headroom for future larger models | You know exactly what you need today |
Don't bother with either if your real bottleneck is somewhere else — at the end of the day, both of these are competent parts. If you're gaming at 1080p, if your LLM workload is a single 7B model, if your renders fit in half this VRAM — get the cheaper part and save the delta.
Bottom line
For most buyers in 2026, the choice between the NVIDIA GeForce RTX 3080 and NVIDIA GeForce RTX 5080 comes down to how much headroom you value. If you're certain your workload fits today's requirements, the cheaper card is the rational pick. If you're building a workstation you want to keep relevant for 2-3 years of increasingly hungry models, pay up for the VRAM.
Related
- NVIDIA GeForce RTX 3080 full benchmarks →
- NVIDIA GeForce RTX 5080 full benchmarks →
- AI Rigs buyer's guide →
- Compare GPUs side-by-side →
Synthetic benchmark deltas
Synthetic scores, with the source of each row.
| Benchmark | NVIDIA GeForce RTX 3080 | NVIDIA GeForce RTX 5080 | Source |
|---|---|---|---|
| PassMark G2D Mark | 1063.00 pts | 1407.00 pts | PassMark |
| PassMark G3D Mark | 25024.00 pts | 35697.00 pts | PassMark |
Budget alternative
If both the NVIDIA GeForce RTX 3080 ($699.00) and NVIDIA GeForce RTX 5080 ($999.00) feel overkill, consider the tier below. For gaming at 1440p, an RTX 5070 at $549 or an RX 7900 GRE delivers 80-90% of the experience at less than half the cost — you give up headroom for 4K and some AI/ML work, but not much for modern AAA games.
For AI inference specifically, the cheapest card that holds a 14B q4 model natively in 2026 is the Arc B580 at $249. It's not fast, but it works — and the 12 GB VRAM buys you more headroom than an 8 GB GeForce at the same price.
Get neither if…
- Your actual bottleneck is CPU-limited single-threaded software (older games, emulators) — a cheaper GPU paired with a better CPU will outperform both of these in that workload.
- You only run 7-8B LLMs and don't plan to go larger — the NVIDIA GeForce RTX 3080 and NVIDIA GeForce RTX 5080 are both massively over-provisioned for that use case. An RTX 4070 SUPER will match their tok/s at 7B while costing half as much.
- Your workload fits in integrated GPU or unified memory — an Apple M4 Pro 48 GB is $2,399 and holds models neither of these discrete cards can hold.
- You can't give the card 1.5x its TDP in clean PSU headroom. Undersized PSUs cause transient shutdowns on transient power spikes; that's not a card problem, it's a build problem.
Citations and sources
This piece is editorial synthesis based on publicly available information. No independent first-party benchmarking is reported.
Related guides
- NVIDIA GeForce RTX 3080 full benchmarks
- NVIDIA GeForce RTX 5080 full benchmarks
- What VRAM do you need for local LLMs?
- Best GPU for Llama 3.1 70B
