NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5070
For running models locally, priced in India. At 8k context the first runs 10 models fully in memory, the second 13.
In short
The NVIDIA GeForce RTX 5070 has more memory for models: 12 GB against 10 GB. At 8k context the NVIDIA GeForce RTX 5070 runs 13 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 10; only the NVIDIA GeForce RTX 5070 holds Qwen3 14B. On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.4× as fast as the NVIDIA GeForce RTX 5070 (estimated, median across models).
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3080 10GB | NVIDIA GeForce RTX 5070 |
|---|---|---|
| GPU | GeForce RTX 3080 10GB | GeForce RTX 5070 |
| Memory | 10 GB GDDR6X | 12 GB GDDR7 |
| Memory bus | 320-bit | 192-bit |
| Memory bandwidth | 760 GB/s | 672 GB/s |
| FP16 compute | 59.5 TFLOPS | 62 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 320 W | 250 W |
| PCIe generation | Gen 4 | Gen 5 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 3080 10GB | NVIDIA GeForce RTX 5070 |
|---|---|---|
| Gemma 4 12B | 53tok/sQ5_K_M | 41tok/sQ6_K |
| Qwen 3.5 9B | 61tok/sQ6_K | 42tok/sQ8_0 |
| Ministral 3 14B | offload | 38tok/sQ5_K_M |
| Qwen3 14B | offload | 40tok/sQ4_K_M |
| DeepSeek R1 0528 Qwen3 8B | 59tok/sQ6_K | 42tok/sQ8_0 |
| Qwen3 8B | 59tok/sQ6_K | 42tok/sQ8_0 |
| Phi-4 14B | offload | 39tok/sQ4_K_M |
| Qwen 3.5 4B | 98tok/sQ8_0 | 87tok/sQ8_0 |
| Ministral 3 8B | 58tok/sQ6_K | 41tok/sQ8_0 |
| Granite 4.2 8B | 53tok/sQ6_K | 39tok/sQ8_0 |
| Gemma 4 E4B | 56tok/sQ8_0 | 49tok/sQ8_0 |
| LFM2.5 8B-A1B | 228tok/sUD-Q6_K | 170tok/sQ8_0 |
| Llama 3.1 8B | 61tok/sQ6_K | 54tok/sQ6_K |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | offload | offload |
| Gemma 4 26B-A4B | offload | offload |
| Qwen 3.5 35B-A3B | offload | offload |
| GLM 4.7 Flash | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| gpt-oss 20B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| Gemma 3 27B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | 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 |
| Qwen 3.5 122B-A10B | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| Mistral Small 4 119B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5070?
- Choose the NVIDIA GeForce RTX 5070 to run bigger models. Choose the NVIDIA GeForce RTX 3080 10GB for speed.
- Which can run bigger models, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5070?
- At 8k context the NVIDIA GeForce RTX 5070 runs 13 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 10; only the NVIDIA GeForce RTX 5070 holds Qwen3 14B.
- Which is faster for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5070?
- On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.4× as fast as the NVIDIA GeForce RTX 5070 (estimated, median across models).