Your rig

Radeon RX 7600 XT · 16 GB

8 GB system RAM · RDNA 3 · 288 GB/s · 14.4 GB usable VRAM
Edit hardware Export as JSON

Context length

KV cache at f16, 32K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
System RAM (GB)
Runtime
Ollamallama.cppLM StudiovLLM

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your Radeon RX 7600 XT

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q4_K_M and 32K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q4_K_M · 9.7 GB 26 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q4_K_M · 7.0 GB 32 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 12.2 GB 36 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q4_K_M · 9.7 GB 26 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q4_K_M · 9.7 GB 26 Runs great
Best for agents gpt-oss 20B
OpenAI · Apache 2.0
Harmony-format tool calling, native 4-bit. MXFP4 · 12.2 GB 36 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q4_K_M · 9.7 GB 26 Runs great
Fastest good model gpt-oss 20B
OpenAI · Apache 2.0
3.6B active, native 4-bit. MXFP4 · 12.2 GB 36 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q4_K_M · 10.0 GB
at 128K context
32 Runs great

Everything that fits

Runs great

33 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.75 GB 12.2 GB
2.2 GB free
36 Ollama Run
Phi-4 14B 14.7B Q4_K_M 8.3 GB 3.13 GB 12.0 GB
2.4 GB free
21 Ollama Run
Gemma 3 12B 12.2B Q4_K_M 6.9 GB 2.31 GB 9.8 GB
4.6 GB free
25 Ollama Run
Gemma 4 12B 12B Q4_K_M 6.7 GB 2.31 GB 9.7 GB
4.7 GB free
26 Ollama Run
Qwen3.5 9B 9.65B Q4_K_M 5.4 GB 1.00 GB 7.0 GB
7.4 GB free
32 Ollama Run
Ornith 1.5 9B New this week 9.41B Q4_K_M 5.3 GB 1.00 GB 6.9 GB
7.5 GB free
33 Ollama Run
Ministral 3 8B 8.92B Q4_K_M 5.0 GB 4.25 GB 9.9 GB
4.5 GB free
35 Ollama Run
Granite 4.1 8B 8.79B Q4_K_M 4.9 GB 5.00 GB 10.5 GB
3.9 GB free
35 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q4_K_M 4.8 GB 0.38 GB 5.7 GB
8.7 GB free
80 Ollama Run
Fara 7B 8.29B Q4_K_M 4.7 GB 1.75 GB 7.0 GB
7.4 GB free
37 llama.cpp Run
Qwen3 8B 8.19B Q4_K_M 4.6 GB 4.50 GB 9.7 GB
4.7 GB free
38 Ollama Run
Llama 3.1 8B Instruct 8.03B Q4_K_M 4.5 GB 4.00 GB 9.1 GB
5.3 GB free
39 Ollama Run
Gemma 4 E4B 8.0B Q4_K_M 4.5 GB 0.47 GB 5.6 GB
8.8 GB free
39 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q4_K_M 4.4 GB 0.21 GB 5.3 GB
9.1 GB free
92 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q4_K_M 4.3 GB 1.75 GB 6.6 GB
7.8 GB free
41 Ollama Run
Qwen2.5-Coder 7B 7.62B Q4_K_M 4.3 GB 1.75 GB 6.6 GB
7.8 GB free
41 Ollama Run
Olmo 3 7B Instruct 7.3B Q4_K_M 4.1 GB 5.50 GB 10.2 GB
4.2 GB free
42 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q4_K_M 4.1 GB 4.00 GB 8.7 GB
5.7 GB free
43 Ollama Run
Gemma 4 E2B 5.1B Q4_K_M 2.9 GB 0.23 GB 3.7 GB
10.7 GB free
61 Ollama Run
Qwen3.5 4B 4.66B Q4_K_M 2.6 GB 1.00 GB 4.2 GB
10.2 GB free
67 Ollama Run
Gemma 3 4B 4.3B Q4_K_M 2.4 GB 0.86 GB 3.9 GB
10.5 GB free
72 Ollama Run
Qwen3 4B 4.02B Q4_K_M 2.3 GB 4.50 GB 7.4 GB
7.0 GB free
77 Ollama Run
Ministral 3 3B 3.85B Q4_K_M 2.2 GB 3.25 GB 6.0 GB
8.4 GB free
81 Ollama Run
Phi-4-mini 3.8B 3.84B Q4_K_M 2.2 GB 4.00 GB 6.8 GB
7.6 GB free
81 Ollama Run
Granite 4.1 3B 3.4B Q4_K_M 1.9 GB 2.50 GB 5.0 GB
9.4 GB free
91 Ollama Run
Llama 3.2 3B Instruct 3.21B Q4_K_M 1.8 GB 3.50 GB 5.9 GB
8.5 GB free
97 Ollama Run
LFM2.5 2.6B New 2.7B Q4_K_M 1.5 GB 0.50 GB 2.6 GB
11.8 GB free
115 llama.cpp Run
Qwen3.5 2B 2.27B Q4_K_M 1.3 GB 0.38 GB 2.3 GB
12.1 GB free
137 Ollama Run
Qwen3 1.7B 1.72B Q4_K_M 1.0 GB 3.50 GB 5.1 GB
9.3 GB free
180 Ollama Run
Llama 3.2 1B Instruct 1.24B Q4_K_M 0.7 GB 1.00 GB 2.3 GB
12.1 GB free
250 Ollama Run
Gemma 3 1B 1.0B Q4_K_M 0.6 GB 0.14 GB 1.3 GB
13.1 GB free
310 Ollama Run
Qwen3.5 0.8B 0.87B Q4_K_M 0.5 GB 0.38 GB 1.5 GB
12.9 GB free
356 Ollama Run
Qwen3 0.6B 0.6B Q4_K_M 0.3 GB 3.50 GB 4.4 GB
10.0 GB free
517 Ollama Run

Runs — tight

3 models · fits at 32K, drop context or quant to go longer
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Qwen3 14B 14.8B Q4_K_M 8.3 GB 5.00 GB 13.9 GB
0.5 GB free
21 llama.cpp Run
Ministral 3 14B 13.9B Q4_K_M 7.8 GB 5.00 GB 13.4 GB
1.0 GB free
22 llama.cpp Run
Mistral NeMo 12B 12.2B Q4_K_M 6.9 GB 5.00 GB 12.5 GB
1.9 GB free
25 llama.cpp Run

Won't fit in VRAM

40 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 32KTotal Over budget Tok/sRuntime
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q4_K_M 17.8 GB 0.19 GB 18.6 GB +4.2 GB ~20 llama.cpp Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q4_K_M 17.5 GB 1.65 GB 19.8 GB +5.4 GB ~18 llama.cpp Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 3.00 GB 20.7 GB +6.3 GB ~15 llama.cpp Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 3.00 GB 20.7 GB +6.3 GB ~15 llama.cpp Why
Muse Glimmer 30B New 29.8B Q4_K_M 16.8 GB 0.48 GB 17.8 GB +3.4 GB ~5.8 llama.cpp Why
Qwen3.8 27B New this week 27.8B Q4_K_M 15.6 GB 2.00 GB 18.2 GB +3.8 GB ~5.8 llama.cpp Why
Qwen3.6 27B 27.8B Q4_K_M 15.6 GB 2.00 GB 18.2 GB +3.8 GB ~5.8 llama.cpp Why
Gemma 3 27B 27.4B Q4_K_M 15.4 GB 2.91 GB 18.9 GB +4.5 GB ~5.4 llama.cpp Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q4_K_M 14.9 GB 1.45 GB 16.9 GB +2.5 GB ~19 llama.cpp Why
Devstral Small 2 24B 24B Q4_K_M 13.5 GB 5.00 GB 19.1 GB +4.7 GB ~5.6 llama.cpp Why
Mistral Small 3.2 24B 23.6B Q4_K_M 13.3 GB 5.00 GB 18.9 GB +4.5 GB ~5.8 llama.cpp Why
DeepSeek-R1-Distill-Qwen 14B 14.8B Q4_K_M 8.3 GB 6.00 GB 14.9 GB +0.5 GB ~17 llama.cpp Why
Qwen2.5-Coder 14B 14.8B Q4_K_M 8.3 GB 6.00 GB 14.9 GB +0.5 GB ~17 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q4_K_M 1563.2 GB 0.84 GB 1564.6 GB +1550.2 GB ~0.2 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q4_K_M 1375.4 GB 2.88 GB 1378.8 GB +1364.4 GB ~0.3 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q4_K_M 927.8 GB 2.14 GB 930.5 GB +916.1 GB ~0.5 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q4_K_M 577.5 GB 2.14 GB 580.2 GB +565.8 GB ~0.8 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q4_K_M 423.4 GB 2.74 GB 426.7 GB +412.3 GB ~0.6 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q4_K_M 377.3 GB 2.14 GB 380.0 GB +365.6 GB ~0.7 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q4_K_M 226.6 GB 0.94 GB 228.1 GB +213.7 GB ~1.5 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q4_K_M 223.2 GB 0.94 GB 224.8 GB +210.4 GB ~1.5 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q4_K_M 159.7 GB 1.51 GB 161.8 GB +147.4 GB ~2.0 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q4_K_M 132.1 GB 5.88 GB 138.6 GB +124.2 GB ~1.2 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q4_K_M 70.3 GB 0.75 GB 71.6 GB +57.2 GB ~2.9 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q4_K_M 69.7 GB 0.25 GB 70.6 GB +56.2 GB ~2.4 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q4_K_M 69.7 GB 0.25 GB 70.6 GB +56.2 GB ~5.8 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q4_K_M 66.9 GB 0.70 GB 68.2 GB +53.8 GB ~4.5 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 1.13 GB 62.2 GB +47.8 GB ~6.3 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q4_K_M 61.3 GB 2.63 GB 64.5 GB +50.1 GB ~1.7 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q4_K_M 39.7 GB 10.00 GB 50.3 GB +35.9 GB ~1.0 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q4_K_M 39.7 GB 10.00 GB 50.3 GB +35.9 GB ~1.0 llama.cpp Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 0.63 GB 21.4 GB +7.0 GB ~16 llama.cpp Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 0.63 GB 21.4 GB +7.0 GB ~16 llama.cpp Why
LLM-jp 4 33B Thinking New this week 33.2B Q4_K_M 18.7 GB 8.00 GB 27.3 GB +12.9 GB ~2.6 llama.cpp Why
Qwen3 32B 32.8B Q4_K_M 18.4 GB 8.00 GB 27.0 GB +12.6 GB ~2.6 llama.cpp Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q4_K_M 18.4 GB 8.00 GB 27.0 GB +12.6 GB ~2.6 llama.cpp Why
Qwen2.5-Coder 32B 32.8B Q4_K_M 18.4 GB 8.00 GB 27.0 GB +12.6 GB ~2.6 llama.cpp Why
Olmo 3.1 32B Instruct 32.2B Q4_K_M 18.1 GB 2.75 GB 21.5 GB +7.1 GB ~3.9 llama.cpp Why
Gemma 4 31B 31.3B Q4_K_M 17.6 GB 5.78 GB 24.0 GB +9.6 GB ~3.2 llama.cpp Why
Granite 4.1 30B 28.9B Q4_K_M 16.3 GB 8.00 GB 24.9 GB +10.5 GB ~3.1 llama.cpp Why

Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 14.4 GB usable VRAM (16 GB less display and driver reserve). Tokens per second are estimated from 288 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.