NVIDIA GeForce RTX 5050 vs NVIDIA GeForce RTX 5090
For running models locally, priced in Canada. At 32k context the first runs 18 models fully in memory, the second 62.
In short
The NVIDIA GeForce RTX 5090 has more memory for models: 32 GB against 8 GB. At 32k context the NVIDIA GeForce RTX 5090 runs 62 of the models we track fully in memory and the NVIDIA GeForce RTX 5050 18; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 5.6× as fast as the NVIDIA GeForce RTX 5050 (estimated, median across models). In Canada the NVIDIA GeForce RTX 5050 costs $570 at Amazon and the NVIDIA GeForce RTX 5090 $10,101 at Amazon: the NVIDIA GeForce RTX 5050 is $9,531 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5050 | NVIDIA GeForce RTX 5090 |
|---|---|---|
| GPU | GeForce RTX 5050 | GeForce RTX 5090 |
| Memory | 8 GB GDDR6 | 32 GB GDDR7 |
| Memory bus | 128-bit | 512-bit |
| Memory bandwidth | 320 GB/s | 1,792 GB/s |
| FP16 compute | 13.169 TFLOPS | 209 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 130 W | 575 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5050 | NVIDIA GeForce RTX 5090 |
|---|---|---|
| Qwen 3.8 27B | offload | 35tok/sQ8_0 |
| Qwen 3.6 27B | offload | 36tok/sQ8_0 |
| Gemma 4 31B | offload | 39tok/sQ6_K |
| Qwen 3.6 35B-A3B | offload | 201tok/sQ6_K |
| Qwen 3.5 27B | offload | 36tok/sQ8_0 |
| Gemma 4 26B-A4B | offload | 132tok/sQ8_0 |
| Qwen 3.5 35B-A3B | offload | 212tok/sQ6_K |
| GLM 4.7 Flash | offload | 114tok/sQ6_K |
| Devstral Small 2 24B | offload | 37tok/sQ8_0 |
| Nemotron 3.5 Lightning 30B-A3B | offload | 214tok/sUD-Q5_K_M |
| Kimi Linear 48B-A3B | offload | 311tok/sQ4_K_M |
| gpt-oss 20B | offload | 206tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | offload | 117tok/sQ6_K |
| Qwen3 32B | offload | 35tok/sQ5_K_M |
| Gemma 4 12B | offload | 82tok/sQ8_0 |
| Qwen 3.5 9B | 29tok/sQ4_K_M | 104tok/sQ8_0 |
| Gemma 3 27B | offload | 35tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 37tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 32B | offload | 35tok/sQ5_K_M |
| Ministral 3 14B | offload | 56tok/sQ8_0 |
| Qwen3 14B | offload | 53tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | offload | 82tok/sQ8_0 |
| Qwen3 8B | offload | 82tok/sQ8_0 |
| Phi-4 14B | offload | 50tok/sQ8_0 |
| Qwen 3.5 4B | 35tok/sQ8_0 | 198tok/sQ8_0 |
| Ministral 3 8B | offload | 82tok/sQ8_0 |
| Granite 4.2 8B | offload | 76tok/sQ8_0 |
| Gemma 4 E4B | 31tok/sQ5_K_M | 121tok/sQ8_0 |
| LFM2.5 8B-A1B | 53tok/sMXFP4 | 249tok/sQ8_0 |
| Llama 3.1 8B | offload | 102tok/sQ6_K |
| Qwen2.5 0.5B | 213tok/sQ8_0 | 1190tok/sQ8_0 |
| Qwen3.5 0.8B | 161tok/sQ8_0 | 901tok/sQ8_0 |
| Qwen3.5 2B | 107tok/sQ5_K_M | 598tok/sQ5_K_M |
| LFM3 1.7B | 88tok/sQ8_0 | 492tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 70tok/sQ8_0 | 392tok/sQ8_0 |
| MiniCPM5 2B | 49tok/sQ8_0 | 272tok/sQ8_0 |
| Spark X2.5 4B | 46tok/smlx-4bit | 258tok/smlx-4bit |
| LFM2.5 2.6B | 41tok/sQ8_0 | 227tok/sQ8_0 |
| LFM2.5 VL 3B | 41tok/sQ8_0 | 227tok/sQ8_0 |
| FrogNano 4B 2609 | 35tok/sQ8_0 | 193tok/sQ8_0 |
| granite vision 4.1 4b | 32tok/sQ8_0 | 176tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 31tok/sQ6_K | 156tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 30tok/sQ4_K_M | 111tok/sQ8_0 |
| granite 4.2 3b | 30tok/sQ8_0 | 169tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | offload | 210tok/sQ8_0 |
| GLM 4.6V Flash | offload | 98tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | offload | 162tok/sQ8_0 |
| Kimi VL A3B | offload | 156tok/smlx-8bit |
| GLM 4 9B 0414 | offload | 116tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | offload | 87tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | offload | 82tok/sQ8_0 |
| LFM2.5 24B A2B | offload | 139tok/sQ8_0 |
| GLM 4.1V 9B Thinking | offload | 85tok/smlx-8bit |
| Ministral 3 14B Reasoning 2512 | offload | 56tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | offload | 50tok/sQ8_0 |
| Muse Glimmer 30B | offload | 46tok/sQ6_K |
| Devstral Small 2507 | offload | 37tok/sQ8_0 |
| Magistral Small 2506 | offload | 37tok/sQ8_0 |
| Magistral Small 2507 | offload | 37tok/sQ8_0 |
| Magistral Small 2509 | offload | 37tok/sQ8_0 |
| Qwen3.8 27B OBLITERATED | offload | 48tok/smlx-4bit |
| granite 4.2 30b | offload | 38tok/sQ5_K_M |
| Qwen 3.5 122B-A10B | won't run | offload |
| Nemotron 3 Super 120B-A12B | won't run | offload |
| Qwen3 Coder Next | won't run | offload |
| Mistral Small 4 119B | won't run | offload |
| GLM 4.5 Air | won't run | offload |
| Qwen3 Next 80B-A3B | won't run | offload |
| Llama 3.3 70B | won't run | offload |
| DeepSeek R1 Distill Llama 70B | won't run | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5050 or the NVIDIA GeForce RTX 5090?
- Choose the NVIDIA GeForce RTX 5090 to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the NVIDIA GeForce RTX 5050 to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5050 or the NVIDIA GeForce RTX 5090?
- At 32k context the NVIDIA GeForce RTX 5090 runs 62 of the models we track fully in memory and the NVIDIA GeForce RTX 5050 18; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5050 or the NVIDIA GeForce RTX 5090?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 5.6× as fast as the NVIDIA GeForce RTX 5050 (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5050 and the NVIDIA GeForce RTX 5090?
- In Canada the NVIDIA GeForce RTX 5050 costs $570 at Amazon and the NVIDIA GeForce RTX 5090 $10,101 at Amazon: the NVIDIA GeForce RTX 5050 is $9,531 cheaper.
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