# NVIDIA GeForce RTX 4080 Super for local LLMs

> A capable 16GB card, but a new RTX 5070 Ti is faster for similar money.

The RTX 4080 Super has 16GB of GDDR6X and 736 GB/s of memory bandwidth, which decides how big a model fits and how fast it generates text. It comfortably runs models up to about 15B parameters: the largest in our catalog is Phi-4 at Q5_K_M (13GB with 8K context, ~52 tokens/sec). Our top all-round pick for it is Qwen3.8 27B (Q3_K_M, ~43 tokens/sec).

## Key specs

- Memory: 16GB GDDR6X
- Memory bandwidth: 736 GB/s
- Architecture: Ada Lovelace (2024)
- Power: 320W
- Typical price: ~$1,150 used (checked 2026-10)
- Software: CUDA, Vulkan

## Best models for this GPU

- **Best overall (also coding, reasoning, vision, largest that fits):** Qwen3.8 27B at Q3_K_M, ~14.8GB with 8K context, ~43 tokens/sec
- **Runner-up:** Qwen3.5 9B at Q8_0, ~12.0GB with 8K context, ~52 tokens/sec
- **Fastest good model:** Gemma 4 26B A4B at Q3_K_M, ~14.1GB with 8K context, ~130 tokens/sec

## Compatibility (best quantization that fits, 8K context)

| Model | Params | Quant | Memory | Speed | Verdict |
| --- | --- | --- | --- | --- | --- |
| Gemma 4 E4B | 8B | Q8_0 | 10.5GB | ~59 tok/s | Runs well |
| Qwen3.5 9B | 9B | Q8_0 | 12.0GB | ~52 tok/s | Runs well |
| Phi-4 | 14.7B | Q5_K_M | 13.2GB | ~52 tok/s | Runs well |
| gpt-oss-20b | 20.9B (3.6B active) | MXFP4 | 15.0GB | ~110 tok/s | Fits, tight |
| Gemma 4 26B A4B | 26B (3.8B active) | Q3_K_M | 14.1GB | ~130 tok/s | Fits, tight |
| Qwen3.8 27B | 27B | Q3_K_M | 14.8GB | ~43 tok/s | Fits, tight |
| Gemma 4 31B | 31B | Q4_K_M | 22.5GB | ~5.6 tok/s | Partial offload |
| Qwen3.6 35B-A3B | 35B (3B active) | Q4_K_M | 23.7GB | ~46 tok/s | Partial offload |
| GLM-4.5-Air | 106B (12B active) | - | - | - | Won't fit |
| Llama 4 Scout | 109B (17B active) | - | - | - | Won't fit |
| gpt-oss-120b | 117B (5.1B active) | - | - | - | Won't fit |
| Qwen3.5 122B-A10B | 122B (10B active) | - | - | - | Won't fit |
| DeepSeek V4 Flash | 284B (13B active) | - | - | - | Won't fit |
| GLM-5.3-Flash | 320B (18B active) | - | - | - | Won't fit |
| GLM-5.3 | 744B (40B active) | - | - | - | Won't fit |

## Pros
- 16GB with solid 736 GB/s bandwidth
- Mature drivers and CUDA support
- Widely available on the used market

## Cons
- Used prices close to a new RTX 5070 Ti
- 16GB limits model size
- 320W board power

Full page: https://llamabuilds.ai/gpus/rtx-4080-super · Best models: https://llamabuilds.ai/gpus/rtx-4080-super/best-models

Sources: [NVIDIA GeForce RTX 4080 family product page](https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4080-family/)

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Source: https://llamabuilds.ai/gpus/rtx-4080-super · Updated October 14, 2026 · Llama Builds. Speeds marked ~ are estimates from our bandwidth model (https://llamabuilds.ai/methodology); measured results are labeled as such.