NVIDIA GeForce RTX 4060 Ti 8GB vs NVIDIA GeForce RTX 4090
For running models locally, priced in Germany. At 8k context the first runs 26 models fully in memory, the second 61.
In short
The NVIDIA GeForce RTX 4090 has more memory for models: 24 GB against 8 GB. At 8k context the NVIDIA GeForce RTX 4090 runs 61 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 8GB 26; only the NVIDIA GeForce RTX 4090 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 3.5× as fast as the NVIDIA GeForce RTX 4060 Ti 8GB (estimated, median across models). In Germany the NVIDIA GeForce RTX 4060 Ti 8GB costs 425 € at Amazon and the NVIDIA GeForce RTX 4090 4.385 € at eBay: the NVIDIA GeForce RTX 4060 Ti 8GB is 3.960 € cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 4060 Ti 8GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| GPU | GeForce RTX 4060 Ti 8GB | GeForce RTX 4090 |
| Memory | 8 GB GDDR6 | 24 GB GDDR6X |
| Memory bus | 128-bit | 384-bit |
| Memory bandwidth | 288 GB/s | 1,008 GB/s |
| FP16 compute | 22.065 TFLOPS | 165 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 160 W | 450 W |
| PCIe generation | Gen 4 | Gen 4 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 4060 Ti 8GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| Qwen 3.8 27B | offload | 28tok/sUD-Q6_K |
| Qwen 3.6 27B | offload | 27tok/sQ6_K |
| Gemma 4 31B | offload | 27tok/sQ5_K_M |
| Qwen 3.6 35B-A3B | offload | 179tok/sQ4_K_M |
| Qwen 3.5 27B | offload | 27tok/sQ6_K |
| Gemma 4 26B-A4B | offload | 95tok/sUD-Q6_K |
| Qwen 3.5 35B-A3B | offload | 181tok/sQ4_K_M |
| GLM 4.7 Flash | offload | 94tok/sQ5_K_M |
| Devstral Small 2 24B | offload | 30tok/sQ6_K |
| Nemotron 3.5 Lightning 30B-A3B | offload | 163tok/sMXFP4 |
| gpt-oss 20B | offload | 142tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | offload | 128tok/sQ5_K_M |
| Qwen3 32B | offload | 29tok/sQ4_K_M |
| Gemma 4 12B | offload | 48tok/sQ8_0 |
| Qwen 3.5 9B | 26tok/sQ5_K_M | 64tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 30tok/sQ6_K |
| Gemma 3 27B | offload | 27tok/sQ6_K |
| DeepSeek R1 Distill Qwen 32B | offload | 28tok/sQ4_K_M |
| Ministral 3 14B | offload | 40tok/sQ8_0 |
| Qwen3 14B | offload | 37tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 25tok/sQ5_K_M | 63tok/sQ8_0 |
| Qwen3 8B | 25tok/sQ5_K_M | 63tok/sQ8_0 |
| Phi-4 14B | offload | 36tok/sQ8_0 |
| Qwen 3.5 4B | 37tok/sQ8_0 | 130tok/sQ8_0 |
| Ministral 3 8B | 28tok/sQ4_K_M | 62tok/sQ8_0 |
| Granite 4.2 8B | 26tok/sQ4_K_M | 59tok/sQ8_0 |
| Gemma 4 E4B | 31tok/sQ5_K_M | 74tok/sQ8_0 |
| LFM2.5 8B-A1B | 93tok/sUD-Q5_K_M | 256tok/sQ8_0 |
| Llama 3.1 8B | 26tok/sQ5_K_M | 82tok/sQ6_K |
| Qwen2.5 0.5B | 283tok/sQ8_0 | 989tok/sQ8_0 |
| Qwen3.5 0.8B | 192tok/sQ8_0 | 671tok/sQ8_0 |
| Qwen3.5 2B | 115tok/sQ5_K_M | 402tok/sQ5_K_M |
| LFM3 1.7B | 91tok/sQ8_0 | 320tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 84tok/sQ8_0 | 294tok/sQ8_0 |
| MiniCPM5 2B | 59tok/sQ8_0 | 206tok/sQ8_0 |
| LFM2.5 2.6B | 53tok/sQ8_0 | 185tok/sQ8_0 |
| LFM2.5 VL 3B | 53tok/sQ8_0 | 185tok/sQ8_0 |
| Spark X2.5 4B | 53tok/smlx-4bit | 184tok/smlx-4bit |
| granite vision 4.1 4b | 42tok/sQ8_0 | 146tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 40tok/sQ8_0 | 138tok/sQ8_0 |
| granite 4.2 3b | 39tok/sQ8_0 | 137tok/sQ8_0 |
| FrogNano 4B 2609 | 36tok/sQ8_0 | 127tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 28tok/sQ4_K_M | 62tok/sQ8_0 |
| GLM 4.6V Flash | 28tok/sQ4_K_M | 61tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 27tok/sQ6_K | 73tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 26tok/sQ5_K_M | 65tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | offload | 133tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | offload | 112tok/sQ8_0 |
| LFM2.5 24B A2B | offload | 154tok/sQ6_K |
| Kimi VL A3B | offload | 107tok/smlx-8bit |
| GLM 4 9B 0414 | offload | 73tok/smlx-5bit |
| Ministral 3 14B Reasoning 2512 | offload | 40tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | offload | 36tok/sQ8_0 |
| GLM 4.1V 9B Thinking | offload | 52tok/smlx-8bit |
| Devstral Small 2507 | offload | 35tok/sQ5_K_M |
| Magistral Small 2506 | offload | 30tok/sQ6_K |
| Magistral Small 2507 | offload | 35tok/sQ5_K_M |
| Magistral Small 2509 | offload | 35tok/sQ5_K_M |
| Muse Glimmer 30B | offload | 27tok/sQ6_K |
| granite 4.2 30b | offload | 27tok/sQ5_K_M |
| Qwen3.8 27B OBLITERATED | offload | 29tok/smlx-4bit |
| Qwen 3.5 122B-A10B | 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 |
| Kimi Linear 48B-A3B | offload | 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 |
| Nemotron 3 Super 120B-A12B | 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 4060 Ti 8GB or the NVIDIA GeForce RTX 4090?
- Choose the NVIDIA GeForce RTX 4090 to run bigger models. Choose the NVIDIA GeForce RTX 4090 for speed. Choose the NVIDIA GeForce RTX 4060 Ti 8GB to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 4060 Ti 8GB or the NVIDIA GeForce RTX 4090?
- At 8k context the NVIDIA GeForce RTX 4090 runs 61 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 8GB 26; only the NVIDIA GeForce RTX 4090 holds Qwen 3.8 27B.
- Which is faster for local AI, the NVIDIA GeForce RTX 4060 Ti 8GB or the NVIDIA GeForce RTX 4090?
- On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 3.5× as fast as the NVIDIA GeForce RTX 4060 Ti 8GB (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 4060 Ti 8GB and the NVIDIA GeForce RTX 4090?
- In Germany the NVIDIA GeForce RTX 4060 Ti 8GB costs 425 € at Amazon and the NVIDIA GeForce RTX 4090 4.385 € at eBay: the NVIDIA GeForce RTX 4060 Ti 8GB is 3.960 € cheaper.
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