NVIDIA GeForce RTX 5050
8 GB · 320 GB/s · 130 W
In short
The NVIDIA GeForce RTX 5050 has 8 GB of GDDR6 memory with 320 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 26 of the 129 open models we track fully in memory; the most capable is Qwen 3.5 9B at Q5_K_M, at about 29 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5050 in the US is $380 at eBay; used, it starts at $380 (asking price).
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayMSI GeForce RTX 5050 Shadow 2X OC 8GB Graphics Card | New | $380 | In stock | 5 h ago | Buy |
| eBayMSI SHADOW GeForce RTX 5050 8GB GDDR6 PCI Express 5.0 Graphics Card RTX 5050 8G | used, asking price | $380 | In stock | 5 h ago | Buy |
| eBayMSI GeForce RTX 5050 8G SHADOW 2X OC NEW | New | $399 | In stock | 5 h ago | Buy |
| eBayNew MSI GeForce RTX 5050 OC 8GB GDDR6 Graphics Card G5050-8S2C Brand New Sealed | New | $399 | In stock | 5 h ago | Buy |
| eBayMSI SHADOW GeForce RTX 5050 8GB GDDR6 PCI Express 5.0 Graphics Card | used, asking price | $399 | In stock | 5 h ago | Buy |
| eBayZOTAC Gaming GeForce RTX 5050 288-1N792-200Z6 | used, asking price | $400 | In stock | 5 h ago | Buy |
| eBayGIGABYTE RTX 5050 8GB vram | used, asking price | $400 | In stock | 5 h ago | Buy |
| eBayASUS Prime GeForce RTX 5050 8GB GDDR6 OC Edition Gaming Graphics Card | used, asking price | $400+ $6 delivery | In stock | 5 h ago | Buy |
| eBayASUS Dual GeForce RTX 5050 8GB GDDR6 OC Edition Graphics Card | New | $410 | In stock | 5 h ago | Buy |
| eBayNEW Zotac GAMING GeForce RTX 5050 Twin Edge OC NVIDIA 8 GB GDDR6 GPU Video Card | New | $425 | In stock | 5 h ago | Buy |
| eBayGIGABYTE RTX 5050 GAMING OC 8GB GDDR6 Triple Fan DLSS 4.5 NEW | New | $425 | In stock | 5 h ago | Buy |
| eBayMSI GeForce RTX 5050 8G SHADOW 2X OC | used, asking price | $430 | In stock | 5 h ago | Buy |
| eBayASUS PRIME GEFORCE RTX 5050 8GB *NEW* SEALED GPU | New | $450+ $6 delivery | In stock | 5 h ago | Buy |
| eBayNEW MSI Geforce RTX 5050 8GB Shadow 2X OC Gaming Graphics Card | New | $520 | In stock | 5 h ago | Buy |
| eBayGIGABYTE GeForce RTX 5050 OC Low Profile 8G Graphics Card | New | $649 | In stock | 5 h ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.5 9B Alibaba Qwen | Q5_K_M | fits | 7.2 GB | 14k23k with q8 cache | 29tok/sest. | 299 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q5_K_M | fits | 7.3 GB | 8k15k with q8 cache | 28tok/sest. | 315 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q5_K_M | fits | 7.3 GB | 8k15k with q8 cache | 28tok/sest. | 315 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 66k110k with q8 cache | 41tok/sest. | 601 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q4_K_M | fits | 6.7 GB | 13k24k with q8 cache | 31tok/sest. | 295 tok/s | chat |
| Granite 4.2 8B IBM | Q4_K_M | fits | 7.2 GB | 9k17k with q8 cache | 29tok/sest. | 292 tok/s | chat |
| Gemma 4 E4B | Q5_K_M | fits | 6.1 GB | 46k77k with q8 cache | 35tok/sest. | 362 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | UD-Q5_K_M | fits | 7.0 GB | 14k25k with q8 cache | 103tok/sest. | 2112 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q5_K_M | fits | 7.1 GB | 10k18k with q8 cache | 29tok/sest. | 326 tok/s | chat |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.3 GB | 32k | 314tok/sest. | 4421 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.6 GB | 256k | 213tok/sest. | 3042 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.2 GB | 256k | 128tok/sest. | 1248 tok/s | chat, coding, agents, long documents |
| LFM3 1.7B Liquid AI | Q8_0 | fits | 2.6 GB | 256k | 101tok/sest. | 1603 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.7 GB | 128k | 93tok/sest. | 1392 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.6 GB | 89k128k with q8 cache | 65tok/sest. | 920 tok/s | chat, coding, agents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 3.9 GB | 62k108k with q8 cache | 59tok/sest. | 926 tok/s | chat, coding, agents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 3.9 GB | 32k | 59tok/sest. | 817 tok/s | chat, coding, agents |
| Spark X2.5 4B XHToken | mlx-4bit | fits | 3.9 GB | 93k156k with q8 cache | 58tok/sest. | 655 tok/s | chat, coding, agents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.7 GB | 39k70k with q8 cache | 46tok/sest. | 613 tok/s | chat, coding |
| Ministral 3 3B Instruct 2512 Mistral AI | Q8_0 | fits | 5.0 GB | 30k55k with q8 cache | 44tok/sest. | 628 tok/s | chat, coding |
| granite 4.2 3b IBM | Q8_0 | fits | 5.0 GB | 36k64k with q8 cache | 44tok/sest. | 659 tok/s | chat, coding |
| FrogNano 4B 2609 Microsoft | Q8_0 | fits | 5.3 GB | 63k104k with q8 cache | 40tok/sest. | 601 tok/s | chat, coding, agents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | fits | 6.7 GB | 13k24k with q8 cache | 31tok/sest. | 295 tok/s | chat |
| GLM 4.6V Flash Z.ai | Q4_K_M | fits | 6.8 GB | 21k35k with q8 cache | 31tok/sest. | 255 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q6_K | fits | 7.0 GB | 14k25k with q8 cache | 30tok/sest. | 351 tok/s | chat |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q5_K_M | fits | 7.1 GB | 10k18k with q8 cache | 29tok/sest. | 326 tok/s | chat |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.7 GB | – | 5tok/sest. | 67 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 4tok/sest. | 67 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 56 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 21.2 GB | – | 21tok/sest. | 529 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 4tok/sest. | 67 tok/s | – |
| Gemma 4 26B-A4B | MXFP4 | offload | 16.5 GB | – | 16tok/sest. | 442 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.5 GB | – | 20tok/sest. | 527 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.2 GB | – | 13tok/sest. | 313 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 79 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | MXFP4 | offload | 22.5 GB | – | 18tok/sest. | 540 tok/s | chat |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 11.8 GB | – | 23tok/sest. | 490 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.8 GB | – | 20tok/sest. | 458 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 17tok/sest. | 399 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 3tok/sest. | 48 tok/s | – |
| Gemma 4 12B | Q4_K_M | offload | 7.8 GB | – | 23tok/sest. | 228 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 79 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.2 GB | – | 4tok/sest. | 68 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.2 GB | – | 3tok/sest. | 50 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 9.7 GB | – | 12tok/sest. | 164 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 10.4 GB | – | 11tok/sest. | 147 tok/s | – |
| Phi-4 14B Microsoft | Q4_K_M | offload | 10.6 GB | – | 10tok/sest. | 146 tok/s | – |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q4_K_M | offload | 9.1 GB | – | 39tok/sest. | 893 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Thinking 2506 Moonshot AI | Q4_K_M | offload | 10.8 GB | – | 29tok/sest. | 684 tok/s | chat |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 15.7 GB | – | 25tok/sest. | 741 tok/s | chat |
| GLM 4 9B 0414 Z.ai | mlx-4bit | offload | 7.6 GB | 2k4k with q8 cache | 24tok/sest. | 270 tok/s | chat |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 12.0 GB | – | 23tok/sest. | 608 tok/s | chat |
| Ministral 3 14B Reasoning 2512 Mistral AI | Q4_K_M | offload | 9.7 GB | – | 12tok/sest. | 164 tok/s | – |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 10.6 GB | – | 10tok/sest. | 142 tok/s | – |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 12.0 GB | – | 8tok/sest. | 192 tok/s | – |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 80 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 80 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 80 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 5tok/sest. | 79 tok/s | – |
| Muse Glimmer 30B meta-models | Q4_K_M | offload | 17.0 GB | – | 4tok/sest. | 62 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 19.5 GB | – | 4tok/sest. | 58 tok/s | – |
| Qwen3.8 27B OBLITERATED OBLITERATUS | mlx-4bit | offload | 20.6 GB | – | 3tok/sest. | 62 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.8 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.0 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 51.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 59.5 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 38.4 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.4 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.4 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek R1 Zero DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.1 Terminus DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 155.8 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q4_K_M | won't run | 73.3 GB | – | – | – | – |
| GLM 4.5 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 61.4 GB | – | – | – | – |
| GLM 4.6 Z.ai | Q4_K_M | won't run | 204.4 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 67.8 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 5 Z.ai | MXFP4 | won't run | 383.8 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.4 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.3 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 747.8 GB | – | – | – | – |
| Kimi Dev 72B Moonshot AI | Q6_K | won't run | 63.2 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.4 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | MXFP4 | won't run | 241.4 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 73.3 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5050
- Memory
- 8 GB GDDR6
- Memory bus
- 128-bit
- Memory bandwidth
- 320 GB/s
- FP16 compute
- 13.169 TFLOPS
- Software
- CUDA
- Board power
- 130 W
- PCIe generation
- Gen 5
- PCIe lanes
- x8
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 5050 have for AI models?
- The NVIDIA GeForce RTX 5050 has 8 GB of GDDR6 memory with 320 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 5050 can run locally?
- Qwen 3.5 9B (Q5_K_M) fits fully in its memory at 8k context and generates at about 29 tok/s, an estimate from its memory bandwidth. 26 of the 129 models we track fit at that context.
- Can the NVIDIA GeForce RTX 5050 run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 92 GB at 8k context, more than the NVIDIA GeForce RTX 5050 and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5050 cost in the US?
- The best new price for the NVIDIA GeForce RTX 5050 in the US is $380 at eBay; used, it starts at $380 (asking price).
Speeds on this page are for 8k context. See the best hardware for local AI at every budget.