RX 7900 XTX 24GB

Parts

Compatibility: No problems found.Est. load 495 W of 850 W · spikes to 708 W

ComponentSelectionPriceWhereBuy
GPUAMD Radeon RX 7900 XTX

24 GB · 960 GB/s · 355 W

£999AmazonBuy
CPUAMD Ryzen 7 9700X

AM5 · 8 cores · 24 PCIe lanes

£200eBayBuy
MotherboardGigabyte B850 Aorus Elite WiFi7

AM5 · DDR5 · ATX

£190eBayBuy
MemoryG.Skill Flare X5 64GB (2×32GB) DDR5-6000

64 GB · DDR5-6000

Not sold now–
Power supplyCorsair RM850x ATX 3.1 850W

850 W · ATX 3

£94eBayBuy
CaseFractal Design North

GPUs up to 355 mm

£139eBayBuy
StorageSamsung 990 Pro 2TB

2000 GB NVME

£250eBayBuy
Total + 1 without a price£1,872
  • Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
  • Note: Fractal Design North fits graphics cards up to 355 mm: check the length of the card you buy.

What this build runs

The most precise quant that fits, at 128k context. Estimates, not measurements.

ModelQuantFitsMemoryMax contextDecode @128kPrefillGood for
Gemma 4 26B-A4B

Google

Q5_K_Mfits22.2 GB165k256k with q8 cache

54tok/sest.

3122 tok/schat, coding, agents, long documents
gpt-oss 20B

OpenAI

MXFP4fits15.8 GB128k

56tok/sest.

2022 tok/schat, coding, agents, long documents
Gemma 4 12B

Google

Q8_0fits15.7 GB256k

35tok/sest.

1297 tok/schat, coding, long documents
Qwen 3.5 9B

Alibaba Qwen

Q8_0fits14.5 GB256k

38tok/sest.

1543 tok/schat, coding, long documents
Qwen 3.5 4B

Alibaba Qwen

Q8_0fits9.8 GB256k

60tok/sest.

2404 tok/schat, coding, long documents
Gemma 4 E4B

Google

Q8_0fits12.7 GB128k

44tok/sest.

2164 tok/schat, coding, long documents
LFM2.5 8B-A1B

Liquid AI

Q8_0fits15.9 GB125k

42tok/sest.

2892 tok/schat, coding, long documents
Llama 3.1 8B

Meta

Q5_K_Mfits22.9 GB128k

23tok/sest.

854 tok/schat, coding, long documents
Qwen2.5 0.5B

Alibaba Qwen

Q8_0fits3.5 GB32k

247tok/sest.

6498 tok/schat, coding, long documents
Qwen3.5 0.8B

Alibaba Qwen

Q8_0fits3.8 GB256k

216tok/sest.

8665 tok/schat, coding, agents, long documents
Qwen3.5 2B

Alibaba Qwen

Q5_K_Mfits4.4 GB256k

172tok/sest.

5541 tok/schat, coding, agents, long documents
DeepSeek R1 Distill Qwen 1.5B

DeepSeek

Q8_0fits6.8 GB128k

93tok/sest.

2903 tok/schat, coding, long documents
Mellum2.1 12B A2.5B Thinking

JetBrains

Q8_0fits15.4 GB128k

69tok/sest.

3345 tok/schat, coding, agents, long documents
MiniCPM5 2B

openbmb

Q8_0fits9.3 GB128k

64tok/sest.

1561 tok/schat, coding, agents, long documents
LFM2.5 2.6B

Liquid AI

Q8_0fits11.7 GB128k

48tok/sest.

2002 tok/schat, coding, agents, long documents
LFM2.5 VL 3B

Liquid AI

Q8_0fits11.7 GB32k

48tok/sest.

1926 tok/schat, coding, agents, long documents
Kimi VL A3B

Moonshot AI

mlx-8bitfits21.9 GB128k

43tok/sest.

2101 tok/schat, coding, agents, long documents
granite vision 4.1 4b

IBM

Q8_0fits14.9 GB128k

37tok/sest.

1236 tok/schat, coding, long documents
granite 4.2 3b

IBM

Q8_0fits15.2 GB128k

36tok/sest.

1260 tok/schat, coding, agents, long documents
GLM 4.6V Flash

Z.ai

Q8_0fits15.9 GB128k

34tok/sest.

678 tok/schat, coding, agents, long documents
DeepSeek R1 Distill Qwen 7B

DeepSeek

Q8_0fits16.1 GB128k

34tok/sest.

1036 tok/schat, coding, long documents
GLM 4.1V 9B Thinking

Z.ai

mlx-8bitfits17.5 GB64k

31tok/sest.

678 tok/schat, coding, long documents
DeepSeek R1 Distill Llama 8B

DeepSeek

Q5_K_Mfits22.9 GB128k

23tok/sest.

854 tok/schat, coding, long documents
Qwen 3.8 Flash Next

Alibaba Qwen

UD-Q2_K_XLoffload78.1 GB–

2tok/sest.

172 tok/s–
Qwen 3.8 27B

Alibaba Qwen

UD-Q4_K_Moffload25.0 GB101k177k with q8 cache

13tok/sest.

505 tok/schat, coding
Qwen 3.5 122B-A10B

Alibaba Qwen

UD-Q2_K_XLoffload43.7 GB–

10tok/sest.

666 tok/schat
Qwen 3.6 27B

Alibaba Qwen

Q4_K_Moffload25.4 GB96k168k with q8 cache

12tok/sest.

501 tok/schat, coding
Qwen3 Coder Next

Alibaba Qwen

Q4_K_Moffload49.8 GB–

10tok/sest.

1396 tok/schat
Nemotron 3 Super 120B-A12B

NVIDIA

UD-Q2_K_XLoffload53.6 GB–

8tok/sest.

858 tok/s–
Gemma 4 31B

Google

Q4_K_Moffload29.4 GB54k103k with q8 cache

6tok/sest.

435 tok/schat, coding
gpt-oss 120B

OpenAI

Q4_K_Moffload64.5 GB–

6tok/sest.

846 tok/schat
Mistral Small 4 119B

Mistral AI

UD-Q2_K_XLoffload41.8 GB–

12tok/sest.

590 tok/schat, coding
Qwen 3.6 35B-A3B

Alibaba Qwen

MXFP4offload24.3 GB83k130k with q8 cache

50tok/sest.

2496 tok/schat, coding, agents, long documents
Qwen 3.5 27B

Alibaba Qwen

Q4_K_Moffload25.3 GB97k170k with q8 cache

12tok/sest.

501 tok/schat, coding
GLM 4.5 Air

Z.ai

Q2_Koffload66.8 GB–

2tok/sest.

142 tok/s–
Qwen 3.5 35B-A3B

Alibaba Qwen

Q4_K_Moffload24.6 GB72k113k with q8 cache

46tok/sest.

2478 tok/schat, coding, agents, long documents
GLM 4.7 Flash

Z.ai

Q4_K_Moffload25.2 GB92k160k with q8 cache

18tok/sest.

1151 tok/schat, coding, agents, long documents
Qwen3 Next 80B-A3B

Alibaba Qwen

Q4_K_Moffload49.8 GB–

11tok/sest.

1526 tok/schat, coding
Devstral Small 2 24B

Mistral AI

Q4_K_Moffload34.9 GB55k101k with q8 cache

4tok/sest.

374 tok/schat, coding
Nemotron 3.5 Lightning 30B-A3B

NVIDIA

UD-Q6_K_XLoffload34.9 GB–

20tok/sest.

2730 tok/schat, coding, long documents
Kimi Linear 48B-A3B

Moonshot AI

Q4_K_Moffload30.6 GB–

35tok/sest.

1636 tok/schat, coding, long documents
Qwen3 Coder 30B-A3B

Alibaba Qwen

Q4_K_Moffload30.8 GB51k91k with q8 cache

7tok/sest.

631 tok/schat, coding, agents
Qwen3 32B

Alibaba Qwen

Q4_K_Moffload52.0 GB15k28k with q8 cache

2tok/sest.

140 tok/schat
Gemma 3 27B

Google

Q4_K_Moffload27.4 GB78k128k with q8 cache

8tok/sest.

585 tok/schat, coding
Mistral Small 3.2 24B

Mistral AI

Q4_K_Moffload34.9 GB55k101k with q8 cache

4tok/sest.

374 tok/schat, coding
DeepSeek R1 Distill Qwen 32B

DeepSeek

Q4_K_Moffload52.0 GB15k28k with q8 cache

2tok/sest.

187 tok/schat
Llama 3.3 70B

Meta

Q4_K_Moffload81.2 GB–

1tok/sest.

78 tok/s–
Ministral 3 14B

Mistral AI

Q4_K_Moffload29.2 GB90k165k with q8 cache

6tok/sest.

528 tok/schat, coding
Qwen3 14B

Alibaba Qwen

Q4_K_Moffload29.9 GB40k

6tok/sest.

444 tok/schat, coding
DeepSeek R1 0528 Qwen3 8B

DeepSeek

Q4_K_Moffload24.2 GB120k128k with q8 cache

16tok/sest.

761 tok/schat, coding, long documents
Qwen3 8B

Alibaba Qwen

Q4_K_Moffload24.2 GB40k

16tok/sest.

761 tok/schat, coding, long documents
Phi-4 14B

Microsoft

Q4_K_Moffload34.8 GB16k

4tok/sest.

410 tok/schat, coding
Ministral 3 8B

Mistral AI

Q4_K_Moffload23.4 GB126k229k with q8 cache

21tok/sest.

788 tok/schat, coding, long documents
Granite 4.2 8B

IBM

Q4_K_Moffload26.7 GB106k128k with q8 cache

9tok/sest.

652 tok/schat, coding, agents
Ministral 3 8B Reasoning 2512

Mistral AI

Q4_K_Moffload23.4 GB126k229k with q8 cache

21tok/sest.

788 tok/schat, coding, agents, long documents
LFM2.5 24B A2B

Liquid AI

Q4_K_Moffload25.8 GB96k128k with q8 cache

14tok/sest.

1579 tok/schat, coding, agents
DeepSeek R1 Distill Qwen 14B

DeepSeek

Q4_K_Moffload33.9 GB72k128k with q8 cache

4tok/sest.

367 tok/schat, coding
Devstral Small 2507

Mistral AI

Q4_K_Moffload34.9 GB55k101k with q8 cache

4tok/sest.

377 tok/schat, coding
Magistral Small 2506

Mistral AI

Q4_K_Moffload34.9 GB40k

4tok/sest.

377 tok/schat, coding
Magistral Small 2507

Mistral AI

Q4_K_Moffload34.9 GB40k

4tok/sest.

377 tok/schat, coding
Magistral Small 2509

Mistral AI

Q4_K_Moffload34.9 GB55k101k with q8 cache

4tok/sest.

374 tok/schat, coding
granite 4.2 30b

IBM

Q4_K_Moffload50.3 GB21k40k with q8 cache

2tok/sest.

225 tok/schat
DeepSeek R1 Distill Llama 70B

DeepSeek

Q4_K_Moffload81.2 GB–

1tok/sest.

78 tok/s–
DeepSeek V4 Flash

DeepSeek

UD-Q2_K_XLwon't run102.5 GB––––
GLM 5.3 Flash

Z.ai

UD-Q2_K_XLwon't run104.3 GB––––
MiniMax M2.7

MiniMax

UD-Q2_K_XLwon't run102.7 GB––––
DeepSeek R1

DeepSeek

Q4_K_Mwon't run386.8 GB––––
DeepSeek R1 0528

DeepSeek

Q4_K_Mwon't run387.3 GB––––
DeepSeek V3 0324

DeepSeek

Q4_K_Mwon't run386.8 GB––––
DeepSeek V3.1

DeepSeek

Q4_K_Mwon't run387.7 GB––––
DeepSeek V3.2

DeepSeek

Q4_K_Mwon't run387.7 GB––––
DeepSeek V4 Flash 0731

DeepSeek

MXFP4won't run157.9 GB––––
DeepSeek V4 Flash Vision Exp

DeepSeek

MXFP4won't run166.7 GB––––
Devstral 2 123B Instruct 2512

Mistral AI

Q8_0won't run169.3 GB––––
GLM 4.5V

Z.ai

Q4_K_Mwon't run83.8 GB––––
GLM 4.6V

Z.ai

Q4_K_Mwon't run90.2 GB––––
GLM 4.7

Z.ai

Q4_K_Mwon't run249.1 GB––––
GLM 5.1

Z.ai

MXFP4won't run432.5 GB––––
GLM 5.2

Z.ai

UD-Q4_K_Mwon't run446.4 GB––––
GLM 5.3

Z.ai

Q8_0won't run758.8 GB––––
Kimi K2

Moonshot AI

Q4_K_Mwon't run588.3 GB––––
Kimi K2 Instruct 0905

Moonshot AI

Q4_K_Mwon't run588.7 GB––––
Kimi K2 Thinking

Moonshot AI

Q4_K_Mwon't run588.7 GB––––
Kimi K2.5

Moonshot AI

Q4_K_Mwon't run588.7 GB––––
MiniMax M2

MiniMax

Q4_K_Mwon't run161.4 GB––––
MiniMax M2.1

MiniMax

Q4_K_Mwon't run161.4 GB––––
MiniMax M2.5

MiniMax

MXFP4won't run147.8 GB––––
MiniMax M3

MiniMax

UD-Q4_K_Mwon't run263.3 GB––––
Mistral Medium 3.5 128B

Mistral AI

Q4_K_Mwon't run115.3 GB––––