GeForce RTX 4080: 16GB VRAM — What Local LLMs Can It Run?
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The GeForce RTX 4080 has 16GB of GDDR6X memory with 717 GB/s of bandwidth. No used-price data yet. At Q4 quantization it runs models up to 14B parameters at roughly 55 tokens/s.
Full GeForce RTX 4080 specifications
What LLMs can the GeForce RTX 4080 run?
One reference model per family (its main version)| Model | Q4_K_M | Q8_0 | FP16 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Fits | Speed t/s | Context | Fits | Speed t/s | Context | Fits | Speed t/s | Context | |
| DeepSeekDeepSeek R1 Qwen3 8B | ✓ | 89.1 | 32K | ✓ | 52 | 32K | ✗ | — | — |
| GemmaGemma 4 31B | ✗ | — | — | ✗ | — | — | ✗ | — | — |
| GLMGLM 4.7 Flash | Offload | 37.4 | — | Offload | 21.8 | — | Offload | 12.1 | — |
| gpt-ossgpt-oss 20B | ✓ | 118.2 | 32K | Offload | 16.6 | — | Offload | 9.1 | — |
| KimiKimi Linear 48B A3B | Offload | 43.3 | — | Offload | 25.4 | — | Offload | 14.1 | — |
| LlamaLlama 3.1 8B | ✓ | 91.6 | 32K | ✓ | 53.3 | 32K | ✗ | — | — |
| MistralMistral 7B v0.3 | ✓ | 99.7 | 32K | ✓ | 58.4 | 32K | ✗ | — | — |
| QwenQwen3 8B | ✓ | 89.1 | 32K | ✓ | 52 | 32K | ✗ | — | — |
Fits when weights + KV cache + runtime overhead is at or below usable memory, single card. "Offload" on MoE models means it runs with expert weights in system RAM (only attention layers and KV cache stay in VRAM); that speed assumes 70 GB/s RAM bandwidth. The context column is the largest tier that fits.
GeForce RTX 4080 used price history
Not enough history to draw a chart yet — price tracking just started.
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FAQ
How much VRAM does the GeForce RTX 4080 have?
The GeForce RTX 4080 has 16GB of GDDR6X memory with 717 GB/s of bandwidth.
Can the GeForce RTX 4080 run a 70B model?
Not on a single card. At Q4_K_M with an 8K context a 70B dense model needs about 43GB, more than the GeForce RTX 4080's 16GB.
How much does a used GeForce RTX 4080 cost?
No used-price data yet; it will appear here once the feed is live.