NVIDIA GeForce RTX 5070 Ti vs NVIDIA RTX A6000
For running models locally, priced in Canada. At 8k context the first runs 43 models fully in memory, the second 68.
In short
The NVIDIA RTX A6000 has more memory for models: 48 GB against 16 GB. At 8k context the NVIDIA RTX A6000 runs 68 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 Ti 43; only the NVIDIA RTX A6000 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 5070 Ti is about 1.2× as fast as the NVIDIA RTX A6000 (estimated, median across models). In Canada the NVIDIA GeForce RTX 5070 Ti costs $1,760 at Amazon and the NVIDIA RTX A6000 $7,000 at Amazon: the NVIDIA GeForce RTX 5070 Ti is $5,240 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5070 Ti | NVIDIA RTX A6000 |
|---|---|---|
| GPU | GeForce RTX 5070 Ti | RTX A6000 |
| Memory | 16 GB GDDR7 | 48 GB GDDR6 |
| Memory bus | 256-bit | 384-bit |
| Memory bandwidth | 896 GB/s | 768 GB/s |
| FP16 compute | 88 TFLOPS | 38.71 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 300 W | 300 W |
| PCIe generation | Gen 5 | Gen 4 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5070 Ti | NVIDIA RTX A6000 |
|---|---|---|
| Qwen 3.8 27B | offload | 16tok/sQ8_0 |
| Qwen 3.5 122B-A10B | offload | 77tok/sUD-Q2_K_XL |
| Qwen 3.6 27B | offload | 16tok/sQ8_0 |
| Gemma 4 31B | offload | 14tok/sQ8_0 |
| Qwen3 Coder Next | won't run | 108tok/sQ4_K_M |
| Mistral Small 4 119B | offload | 111tok/sUD-Q2_K_XL |
| Qwen 3.6 35B-A3B | offload | 86tok/sQ8_0 |
| Qwen 3.5 27B | offload | 16tok/sQ8_0 |
| Gemma 4 26B-A4B | offload | 63tok/sQ8_0 |
| GLM 4.5 Air | won't run | 39tok/sQ2_K |
| Devstral Small 2 24B | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Qwen 3.5 35B-A3B | offload | 86tok/sQ8_0 |
| GLM 4.7 Flash | offload | 50tok/sQ8_0 |
| Qwen3 Next 80B-A3B | won't run | 138tok/sQ4_K_M |
| Nemotron 3.5 Lightning 30B-A3B | offload | 83tok/sUD-Q6_K_XL |
| gpt-oss 20B | 127tok/sMXFP4 | 109tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | offload | 72tok/sQ8_0 |
| Kimi Linear 48B-A3B | offload | 111tok/sQ6_K |
| Qwen3 32B | offload | 13tok/sQ8_0 |
| Gemma 4 12B | 42tok/sQ8_0 | 36tok/sQ8_0 |
| Qwen 3.5 9B | 56tok/sQ8_0 | 48tok/sQ8_0 |
| Mistral Small 3.2 24B | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Gemma 3 27B | offload | 16tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 32B | offload | 13tok/sQ8_0 |
| Llama 3.3 70B | won't run | 11tok/sQ4_K_M |
| Qwen3 14B | 41tok/sQ6_K | 28tok/sQ8_0 |
| Ministral 3 14B | 35tok/sQ8_0 | 30tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 56tok/sQ8_0 | 48tok/sQ8_0 |
| Qwen3 8B | 56tok/sQ8_0 | 48tok/sQ8_0 |
| Phi-4 14B | 41tok/sQ6_K | 28tok/sQ8_0 |
| Qwen 3.5 4B | 116tok/sQ8_0 | 99tok/sQ8_0 |
| Ministral 3 8B | 55tok/sQ8_0 | 47tok/sQ8_0 |
| Granite 4.2 8B | 52tok/sQ8_0 | 45tok/sQ8_0 |
| Gemma 4 E4B | 66tok/sQ8_0 | 56tok/sQ8_0 |
| LFM2.5 8B-A1B | 227tok/sQ8_0 | 195tok/sQ8_0 |
| Llama 3.1 8B | 72tok/sQ6_K | 62tok/sQ6_K |
| Qwen2.5 0.5B | 879tok/sQ8_0 | 754tok/sQ8_0 |
| Qwen3.5 0.8B | 596tok/sQ8_0 | 511tok/sQ8_0 |
| Qwen3.5 2B | 357tok/sQ5_K_M | 306tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 261tok/sQ8_0 | 224tok/sQ8_0 |
| MiniCPM5 2B | 183tok/sQ8_0 | 157tok/sQ8_0 |
| LFM2.5 2.6B | 164tok/sQ8_0 | 141tok/sQ8_0 |
| LFM2.5 VL 3B | 164tok/sQ8_0 | 141tok/sQ8_0 |
| Spark X2.5 4B | 163tok/smlx-4bit | 140tok/smlx-4bit |
| Kimi VL A3B Thinking 2506 | 153tok/sQ4_K_M | 85tok/sQ8_0 |
| granite vision 4.1 4b | 130tok/sQ8_0 | 111tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 123tok/sQ8_0 | 105tok/sQ8_0 |
| granite 4.2 3b | 122tok/sQ8_0 | 104tok/sQ8_0 |
| Kimi VL A3B | 120tok/smlx-6bit | 81tok/smlx-8bit |
| Mellum2.1 12B A2.5B Thinking | 118tok/sQ8_0 | 101tok/sQ8_0 |
| FrogNano 4B 2609 | 112tok/sQ8_0 | 96tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 65tok/sQ8_0 | 56tok/sQ8_0 |
| GLM 4 9B 0414 | 65tok/smlx-5bit | 56tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | 58tok/sQ8_0 | 50tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 55tok/sQ8_0 | 47tok/sQ8_0 |
| GLM 4.6V Flash | 54tok/sQ8_0 | 46tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 46tok/smlx-8bit | 39tok/smlx-8bit |
| DeepSeek R1 Distill Qwen 14B | 40tok/sQ6_K | 28tok/sQ8_0 |
| Devstral Small 2507 | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Magistral Small 2506 | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Magistral Small 2507 | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Magistral Small 2509 | 35tok/sQ4_K_M | 18tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 35tok/sQ8_0 | 30tok/sQ8_0 |
| LFM2.5 24B A2B | offload | 102tok/sQ8_0 |
| Muse Glimmer 30B | offload | 15tok/sQ8_0 |
| granite 4.2 30b | offload | 14tok/sQ8_0 |
| Qwen3.8 27B OBLITERATED | offload | 22tok/smlx-4bit |
| DeepSeek R1 Distill Llama 70B | won't run | 11tok/sQ4_K_M |
| MiniMax M2.7 | won't run | offload |
| Nemotron 3 Super 120B-A12B | won't run | offload |
| gpt-oss 120B | won't run | offload |
| Devstral 2 123B Instruct 2512 | won't run | offload |
| GLM 4.5V | won't run | offload |
| GLM 4.6V | won't run | offload |
| Kimi Dev 72B | won't run | offload |
| Mistral Medium 3.5 128B | 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 |
| 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 |
| GLM 4.5 | won't run | won't run |
| GLM 4.6 | 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 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 |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5070 Ti or the NVIDIA RTX A6000?
- Choose the NVIDIA RTX A6000 to run bigger models. Choose the NVIDIA GeForce RTX 5070 Ti for speed. Choose the NVIDIA GeForce RTX 5070 Ti to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5070 Ti or the NVIDIA RTX A6000?
- At 8k context the NVIDIA RTX A6000 runs 68 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 Ti 43; only the NVIDIA RTX A6000 holds Qwen 3.8 27B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5070 Ti or the NVIDIA RTX A6000?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5070 Ti is about 1.2× as fast as the NVIDIA RTX A6000 (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5070 Ti and the NVIDIA RTX A6000?
- In Canada the NVIDIA GeForce RTX 5070 Ti costs $1,760 at Amazon and the NVIDIA RTX A6000 $7,000 at Amazon: the NVIDIA GeForce RTX 5070 Ti is $5,240 cheaper.
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