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 128k context it runs 21 of the 129 open models we track fully in memory; the most capable is Gemma 4 12B at Q6_K, at about 16 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5050 in Germany is 387 € at eBay.
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in Germany, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayGainward NVIDIA GeForce RTX 5050 Pegasus | New | 387 € | In stock | 36 min ago | Buy |
| AmazonZotac Gaming Geforce RTX 5050 Twin Edge Nvidia 8 GB Gddr6 | New | 454 € | In stock | 4 h ago | Buy |
| AmazonPNY GeForce RTX 5050 8GB Dual Fan Graphics Card DLSS 4 | New | 463 € | In stock | 4 h ago | Buy |
| AmazonGigabyte GeForce RTX 5050 OC Low Profile 8G Graphics Card | New | 468 € | In stock | 4 h ago | Buy |
| eBayGainward RTX5050 Ghost 8GB GDDR6 HDMI 3xDP | New | 484 € | In stock | 36 min ago | Buy |
| eBayGainward GeForce RTX 5050 Ghost 8GB | New | 487 € | In stock | 36 min ago | Buy |
| AmazonMSI Gaming RTX 5050 8G Shadow 2X OC 8GB GDDR6 128bit Extreme Performance… | New | 489 € | In stock | 4 h ago | Buy |
| eBayGigabyte RTX5050 Gaming OC 8G 8GB GDDR6 HDMI 2xDP | New | 496 € | In stock | 36 min ago | Buy |
| eBayGigabyte GeForce RTX 5050 LowProfile OC 8GB GDDR6 PCIe 5.0 2xHDMI 2xDisplayPort | New | 500 €+ 9 € delivery | In stock | 36 min ago | Buy |
| eBayASUS Prime GeForce RTX 5050 8GB GDDR6 OC Edition Gaming Grafikkarte | New | 510 € | In stock | 36 min ago | Buy |
| eBayGigabyte RTX5050 OC LOW PROFILE 8G 8GB GDDR6 HDMI 2xDP | New | 525 € | In stock | 36 min ago | Buy |
| eBayASUS Dual GeForce RTX 5050 8GB GDDR6 OC Edition Gaming Grafikkarte | New | 530 € | In stock | 36 min ago | Buy |
| eBay8GB ASUS DUAL-RTX5050-O8G Dual GeForce RTX 5050 OC NVIDIA GDDR6 2677MHz 2 Lüfter | New | 535 € | In stock | 36 min ago | Buy |
| eBay8GB ASUS PRIME-RTX5050-O8G Prime GeForce RTX 5050 OC PCIe 5.0 x16 | New | 549 € | In stock | 36 min ago | Buy |
| eBayASUS GeForce RTX 5050 DUAL OC 8GB | New | 555 € | In stock | 36 min ago | Buy |
| eBayGIGABYTE GeForce RTX 5050 GAMING OC 8G Grafikkarte | New | 600 € | In stock | 36 min ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q6_K | fits | 13.3 GB | 198k256k with q8 cache | 16tok/sest. | 179 tok/s | chat |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 128k212k with q8 cache | 14tok/sest. | 212 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 255k256k with q8 cache | 23tok/sest. | 331 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 17tok/sest. | 298 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | UD-Q6_K | fits | 14.5 GB | 125k | 16tok/sest. | 398 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 3.8 GB | 32k | 93tok/sest. | 895 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 4.1 GB | 256k | 81tok/sest. | 1193 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 4.7 GB | 256k | 65tok/sest. | 763 tok/s | chat, coding, agents, long documents |
| LFM3 1.7B Liquid AI | Q8_0 | fits | 5.1 GB | 256k | 57tok/sest. | 882 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 7.1 GB | 128k | 35tok/sest. | 400 tok/s | chat, coding, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q6_K | fits | 14.3 GB | 128k | 28tok/sest. | 461 tok/s | chat, coding, agents, long documents |
| Spark X2.5 4B XHToken | mlx-4bit | fits | 9.2 GB | 263k441k with q8 cache | 25tok/sest. | 327 tok/s | chat, coding, agents, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 9.6 GB | 128k | 24tok/sest. | 215 tok/s | chat, coding, agents |
| FrogNano 4B 2609 Microsoft | Q8_0 | fits | 10.2 GB | 251k256k with q8 cache | 22tok/sest. | 331 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 12.0 GB | 128k | 18tok/sest. | 276 tok/s | chat, coding, agents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 12.0 GB | 32k | 18tok/sest. | 265 tok/s | chat, coding, agents |
| GLM 4.6V Flash Z.ai | Q4_K_M | fits | 12.6 GB | 128k | 17tok/sest. | 93 tok/s | chat, coding |
| granite vision 4.1 4b IBM | Q5_K_M | fits | 14.1 GB | 128k | 15tok/sest. | 170 tok/s | chat, coding |
| GLM 4 9B 0414 Z.ai | mlx-5bit | fits | 14.5 GB | 32k | 15tok/sest. | 96 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q6_K | fits | 14.7 GB | 128k | 14tok/sest. | 143 tok/s | chat, coding |
| granite 4.2 3b IBM | Q6_K | fits | 14.8 GB | 128k | 14tok/sest. | 174 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 25.3 GB | – | 4tok/sest. | 53 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.7 GB | – | 4tok/sest. | 53 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 29.7 GB | – | 3tok/sest. | 47 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 24.6 GB | – | 12tok/sest. | 262 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.6 GB | – | 4tok/sest. | 53 tok/s | – |
| Gemma 4 26B-A4B | MXFP4 | offload | 20.0 GB | – | 12tok/sest. | 356 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.9 GB | – | 12tok/sest. | 261 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.5 GB | – | 5tok/sest. | 122 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 41 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | MXFP4 | offload | 24.3 GB | – | 18tok/sest. | 356 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 15.7 GB | 97k128k with q8 cache | 18tok/sest. | 268 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | – | 16tok/sest. | 177 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | – | 3tok/sest. | 69 tok/s | chat |
| Gemma 3 27B | Q4_K_M | offload | 27.7 GB | – | 3tok/sest. | 63 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 41 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.5 GB | 37k67k with q8 cache | 3tok/sest. | 57 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.2 GB | 32k40k with q8 cache | 3tok/sest. | 48 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.5 GB | 61k111k with q8 cache | 4tok/sest. | 80 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 40k | 4tok/sest. | 80 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 2tok/sest. | 45 tok/s | chat |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.7 GB | 63k115k with q8 cache | 4tok/sest. | 82 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 27.0 GB | 52k96k with q8 cache | 3tok/sest. | 69 tok/s | chat |
| Llama 3.1 8B Meta | Q4_K_M | offload | 22.4 GB | 69k126k with q8 cache | 5tok/sest. | 91 tok/s | chat, coding |
| Kimi VL A3B Thinking 2506 Moonshot AI | Q4_K_M | offload | 15.5 GB | 109k128k with q8 cache | 18tok/sest. | 281 tok/s | chat, coding |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 16.7 GB | 75k123k with q8 cache | 14tok/sest. | 198 tok/s | chat, coding, agents |
| Ministral 3 3B Instruct 2512 Mistral AI | Q4_K_M | offload | 16.8 GB | 108k195k with q8 cache | 9tok/sest. | 153 tok/s | chat, coding |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 17.8 GB | 60k64k with q8 cache | 8tok/sest. | 83 tok/s | chat |
| Muse Glimmer 30B meta-models | Q4_K_M | offload | 19.7 GB | – | 6tok/sest. | 66 tok/s | – |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q4_K_M | offload | 22.4 GB | 69k126k with q8 cache | 5tok/sest. | 91 tok/s | chat, coding |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 26.1 GB | – | 4tok/sest. | 167 tok/s | chat |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | offload | 23.7 GB | 63k115k with q8 cache | 4tok/sest. | 82 tok/s | chat, coding |
| Qwen3.8 27B OBLITERATED OBLITERATUS | mlx-4bit | offload | 29.2 GB | – | 3tok/sest. | 50 tok/s | – |
| Ministral 3 14B Reasoning 2512 Mistral AI | Q4_K_M | offload | 29.5 GB | 37k67k with q8 cache | 3tok/sest. | 57 tok/s | chat |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 34.2 GB | 27k50k with q8 cache | 2tok/sest. | 40 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 42 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 42 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 42 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 35.2 GB | 2k3k with q8 cache | 2tok/sest. | 41 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.4 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 44.0 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 64.8 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 42.1 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.1 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 52.3 GB | – | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 52.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 387.6 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek R1 Zero DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek V3 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V3.1 Terminus DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 158.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 167.0 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q4_K_M | won't run | 115.6 GB | – | – | – | – |
| GLM 4.5 Z.ai | Q4_K_M | won't run | 249.4 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 84.1 GB | – | – | – | – |
| GLM 4.6 Z.ai | Q4_K_M | won't run | 248.6 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 90.5 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 249.4 GB | – | – | – | – |
| GLM 5 Z.ai | MXFP4 | won't run | 395.2 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 432.8 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 446.7 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 759.1 GB | – | – | – | – |
| Kimi Dev 72B Moonshot AI | Q6_K | won't run | 101.8 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 148.1 GB | – | – | – | – |
| MiniMax M3 MiniMax | MXFP4 | won't run | 256.5 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 115.6 GB | – | – | – | – |
| granite 4.2 30b IBM | Q4_K_M | won't run | 50.6 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?
- Gemma 4 12B (Q6_K) fits fully in its memory at 128k context and generates at about 16 tok/s, an estimate from its memory bandwidth. 21 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 103 GB at 128k context, more than the NVIDIA GeForce RTX 5050 and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5050 cost in Germany?
- The best new price for the NVIDIA GeForce RTX 5050 in Germany is 387 € at eBay.
Speeds on this page are for 128k context. See the best hardware for local AI at every budget.