NVIDIA GeForce RTX 5070
12 GB · 672 GB/s · 250 W
Prices
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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 26B-A4B | UD-Q4_K_M | fits | 20.3 GB | 225k256k with q8 cache | 45tok/sest. | 2024 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 44tok/sest. | 1310 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 28tok/sest. | 841 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 30tok/sest. | 1000 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 47tok/sest. | 1558 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 35tok/sest. | 1402 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 33tok/sest. | 1874 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q4_K_M | fits | 22.4 GB | 128k | 19tok/sest. | 553 tok/s | chat, coding, long documents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 25.3 GB | 91k159k with q8 cache | 10tok/sest. | 321 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.0 GB | – | 9tok/sest. | 426 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.7 GB | 86k150k with q8 cache | 9tok/sest. | 318 tok/s | chat, coding |
| Gemma 4 31B | Q4_K_M | offload | 29.7 GB | 45k89k with q8 cache | 5tok/sest. | 277 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.1 GB | – | 11tok/sest. | 377 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 25.0 GB | 40k63k with q8 cache | 33tok/sest. | 1571 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.6 GB | 87k152k with q8 cache | 9tok/sest. | 319 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.9 GB | 44k70k with q8 cache | 34tok/sest. | 1575 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.5 GB | 80k139k with q8 cache | 14tok/sest. | 732 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 238 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.2 GB | – | 17tok/sest. | 1741 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | – | 30tok/sest. | 1042 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | 44k79k with q8 cache | 6tok/sest. | 402 tok/s | chat, coding, agents |
| Gemma 3 27B | Q4_K_M | offload | 27.7 GB | 70k128k with q8 cache | 7tok/sest. | 372 tok/s | chat, coding |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 238 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.5 GB | 86k157k with q8 cache | 5tok/sest. | 336 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.2 GB | 40k | 5tok/sest. | 283 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.5 GB | 116k128k with q8 cache | 11tok/sest. | 484 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 40k | 11tok/sest. | 484 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 3tok/sest. | 261 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.7 GB | 121k220k with q8 cache | 14tok/sest. | 501 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 27.0 GB | 102k128k with q8 cache | 7tok/sest. | 415 tok/s | chat, coding, agents |
| 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 | – | – | – | – |
| 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 | MXFP4 | won't run | 65.4 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 | 12k23k with q8 cache | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 52.3 GB | 12k23k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5070
- Memory
- 12 GB GDDR7
- Memory bus
- 192-bit
- Memory bandwidth
- 672 GB/s
- FP16 compute
- 62 TFLOPS
- Software
- CUDA
- Board power
- 250 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16