AMDRDNA 3

Best AI Models for AMD Radeon RX 7600 XT (16.0GB)

VRAM:16.0 GB GDDR6·Bandwidth:288.0 GB/s·Stream Processors:2,048·TDP:190W·MSRP:$329

16 GB is a comfortable mid-range tier for local AI. Most 7B–13B models run smoothly at good quantization levels, and smaller models can run at near-full precision.

This memory tier strikes a nice balance between price and capability. Popular 7B models like Llama 3 8B, Mistral 7B, and Qwen 2.5 7B all run very well at Q4_K_M quantization with fast inference and reasonable context windows. You can also fit some larger 13B models at Q3–Q4, though you'll want to keep context lengths modest. Small models like Phi 3 Mini (3.8B) practically fly at Q8 or even FP16 quality.

Runs Well

  • 7B models at Q4–Q6 quality with good speed
  • Small models (3B–4B) at Q8 or FP16
  • 9B models (Gemma 2 9B) at Q4_K_M

Challenging

  • 13B–14B models need Q3 or lower
  • 30B+ models do not fit in VRAM
  • Long context (>8K tokens) with larger models

What LLMs Can AMD Radeon RX 7600 XT Run?

229 models · 58 excellent · 90 good

Showing compatibility for AMD Radeon RX 7600 XT

LLM models compatible with AMD Radeon RX 7600 XT — ranked by performance
ModelVRAMGrade
Chandra Ocr 25.3B
Q4_K_M·47.3 t/s tok/s·262K ctx·RUNS WELL
3.6 GBA79
Q4_K_M·50.4 t/s tok/s·131K ctx·RUNS WELL
3.4 GBA80
MiniCPM5 2B2.5B
Q4_K_M·90.9 t/s tok/s·131K ctx·RUNS GREAT
1.9 GBS90
Qwen3.5 2B2.3B
Q4_K_M·97.6 t/s tok/s·262K ctx·RUNS GREAT
1.8 GBS91
DeepSeek OCR 23.4B
Q4_K_M·134.9 t/s tok/s·8K ctx·RUNS GREAT
2.5 GBS95
DeepSeek OCR3.3B
Q4_K_M·138.7 t/s tok/s·8K ctx·RUNS GREAT
2.4 GBS96
Q4_K_M·27.7 t/s tok/s·41K ctx·RUNS WELL
6.2 GBA68
MiMo V2.6 Distill Qwen 9B9.4B
Q4_K_M·27.8 t/s tok/s·262K ctx·RUNS WELL
6.2 GBA68
MiniCPM5 1B1.1B
Q4_K_M·174.5 t/s tok/s·131K ctx·RUNS GREAT
1.0 GBS98
Q4_K_M·60.2 t/s tok/s·131K ctx·RUNS WELL
2.9 GBA84
Dots.mocr3.0B
Q4_K_M·79.3 t/s tok/s·131K ctx·RUNS GREAT
2.2 GBS87
Qianfan OCR4.7B
Q4_K_M·51.9 t/s tok/s·33K ctx·RUNS WELL
3.3 GBA81
Qwen3.5 0.8B873M
Q4_K_M·198.6 t/s tok/s·262K ctx·RUNS GREAT
0.9 GBS100
MiniCPM V 4.61.3B
Q4_K_M·152.9 t/s tok/s·262K ctx·RUNS GREAT
1.1 GBS97
Molmo2 8B8.7B
Q4_K_M·29.8 t/s tok/s·37K ctx·RUNS WELL
5.8 GBA71
Jina Ocr V13.4B
Q4_K_M·136.1 t/s tok/s·33K ctx·RUNS GREAT
2.5 GBS96

AMD Radeon RX 7600 XT Specifications

Brand
AMD
Architecture
RDNA 3
VRAM
16.0 GB GDDR6
Memory Bandwidth
288.0 GB/s
Stream Processors
2,048
FP16 Performance
22.60 TFLOPS
TDP
190W
Release Date
2024-01-24
MSRP
$329

Get Started

Ollama (Recommended)

$curl -fsSL https://ollama.com/install.sh | sh
$ollama run llama3:8b

LM Studio

LM Studio

Download LM Studio, search for a model, and run it with one click.

Prompt Processing

Estimated for GPT OSS 20B NPU2, the compute-bound phase that reads your prompt before the first reply token appears.

1,514.5tok/s prefill

Short chat

338 ms

512 tok prompt

Long chat

2.7 s

4,096 tok prompt

Document / codebase

21.6 s

32,768 tok prompt

Prefill is compute-bound and a different number from the decode tok/s shown elsewhere on this page — how prompt processing works →

Efficiency & Value

Based on GPT OSS 20B NPU2 at ~60.5 tok/s decode.

Tokens per watt

0.32tok/s per W

Higher is better.

$ per tok/s (MSRP)

$5.44

MSRP-based, not street price. Lower is better.

How efficiency & value are calculated →

Performance figures are estimates calibrated as of 2026-09-21 — see calibration basis →

GPUs to Consider Over AMD Radeon RX 7600 XT

Similar GPUs and upgrades with more VRAM or higher bandwidth for AI

Frequently Asked Questions

Can AMD Radeon RX 7600 XT run Gemma 4 26B A4B IT?

Yes, the AMD Radeon RX 7600 XT with 16 GB can run Gemma 4 26B A4B IT, LFM2.5 8B A1B, Mellum2 12B A2.5B Instruct, and 2190 other models. 815 models run at excellent quality, and 768 at good quality. Check the compatibility table above for the full list with VRAM usage and estimated speed.

Is AMD Radeon RX 7600 XT good for AI?

The AMD Radeon RX 7600 XT has 16 GB of GDDR6, making it very good for running local AI models. It supports 1583 models at good quality or better. With 288.0 GB/s memory bandwidth, it delivers reasonable token generation speeds. This is a solid mid-range card for running 7B–14B parameter models at good quality.

How many parameters can AMD Radeon RX 7600 XT handle?

With 16 GB, the AMD Radeon RX 7600 XT supports models from 3B to 14B parameters depending on quantization level. At Q4_K_M (the recommended sweet spot), you can fit roughly 26B parameters. 7B models run at high quality (Q5/Q6), while 14B models fit comfortably at Q4.

What quantization should I use on AMD Radeon RX 7600 XT?

For the best balance of quality and speed on the AMD Radeon RX 7600 XT, start with Q4_K_M — it preserves ~85% of the original model quality while keeping VRAM usage reasonable. You can step up to Q5_K_M for 7B models to get better quality. For 14B models that just barely fit, Q4_K_M is ideal.

How fast is AMD Radeon RX 7600 XT for AI inference?

With 288.0 GB/s memory bandwidth, the AMD Radeon RX 7600 XT achieves approximately 38 tokens/sec on a 7B model at Q4_K_M — that's comfortable for real-time interactive chat. A 14B model runs at ~19 tok/s. Token generation speed scales inversely with model size — smaller models are significantly faster.

tok/s = (288 GB/s ÷ model GB) × efficiency

Smaller models = faster inference. Memory bandwidth is the main bottleneck for token generation speed.

Estimated speed on AMD Radeon RX 7600 XT

Real-world results typically within ±20%. Speed depends on quantization kernel, batch size, and software stack.

Learn more about tok/s estimation →

What's the best model for AMD Radeon RX 7600 XT?

The top-rated models for the AMD Radeon RX 7600 XT are Gemma 4 26B A4B IT, LFM2.5 8B A1B, Mellum2 12B A2.5B Instruct. The best choice depends on your use case: coding assistants benefit from code-tuned models, while general chat works well with instruction-tuned models like Llama or Qwen.

What power supply and cooling does AMD Radeon RX 7600 XT need?

The AMD Radeon RX 7600 XT has a TDP of 190 W. A good rule of thumb is to provide at least double the GPU's TDP to cover the rest of the system — that means a 550 W PSU or larger. A mid-tower case with one intake and one rear exhaust is usually sufficient. Keep dust filters clean, as sustained inference generates continuous heat rather than the brief spikes typical of gaming.