Best AI Models for AMD Radeon RX 7900 XTX (24 GB)

Runs 27–31B and 35B MoE models well; 70B doesn't fit in 24 GB.

24 GB GDDR6960 GB/s123 TFLOPS FP16355 WRDNA 3 2022

What LLMs can the RX 7900 XTX run?

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.2 t/s	28.2 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 77.5 t/s	77.5 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.2 t/s	28.2 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 76.7 t/s	76.7 tok/s	Q4_K_M · 22.0 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 77.5 t/s	77.5 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
2	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.2 t/s	28.2 tok/s	Q4_K_M · 21.7 GB
3	Qwen3.5 27BAlibaba Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 77.5 t/s	77.5 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Math Score	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s		Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s		Q4_K_M · 17.9 GB
3	Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB · 76.7 t/s	76.7 tok/s		Q4_K_M · 22.0 GB
4	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.2 t/s	28.2 tok/s	overall	Q4_K_M · 21.7 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 77.5 t/s	77.5 tok/s		Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
4	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 108 t/s	108 tok/s	Q4_K_M · 13.1 GB
5	JEV 27B VLautotrust Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 177 t/s	177 tok/s	Q4_K_M · 3.4 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 108 t/s	108 tok/s	Q4_K_M · 13.1 GB
3	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
4	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 90.6 t/s	90.6 tok/s	Q4_K_M · 6.6 GB
5	NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA Q4_K_M · 19.3 GB · 77.5 t/s	77.5 tok/s	Q4_K_M · 19.3 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
2	Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB
3	Gemma 4 31B ITGoogle Q4_K_M · 21.7 GB · 28.2 t/s	28.2 tok/s	Q4_K_M · 21.7 GB
4	Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB · 92.9 t/s	92.9 tok/s	Q4_K_M · 16.5 GB
5	JEV 27B VLautotrust Q4_K_M · 17.9 GB · 33.1 t/s	33.1 tok/s	Q4_K_M · 17.9 GB

See all 327 models on the RX 7900 XTX →Best quant that fits · speeds estimated on this card

About the RX 7900 XTX

The RX 7900 XTX is an entry card in the 24 GB class: it runs 27–31B and 35B MoE models well. It is among the most efficient per watt in its tier, and the best speed per dollar of the cards compared at ≈$1,130. RDNA 3 generation, released 2022.

Speed in 24 GB#4960 GB/s

Per watt#20.26 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#18.0 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationRDNA 3released 2022

RX 7900 XTX strengths and weaknesses

Strengths

Runs 27–31B models: Qwen3.8 27B at 33.1 tok/s in 17.9 GB, 6.1 GB left for context
Only new 24 GB card here: The other 24 GB cards sell used; this one ≈$1,130 new

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 24 GB here
Slower on MoE models: Qwen3.6 35B A3B at 76.7 tok/s, slower than Qwen3.5 9B at 90.6
Slow prompt reading: A 4K-token prompt on Qwen3.8 27B waits 8.4 s for the first token
ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM

Speed per dollar and per watt

NewUsed

On Qwen3.5 9B (9B params) at Q4_K_M. New prices are compared with new, used with used. The last two columns are the speed you get per $100 of price and per 100 W of board power; higher is better.

Card	New price	tok/s	tok/s per $100	tok/s per 100 W
RX 7900 XTX24 GB	about $1,130	90.6	8.0	25.5
RTX 5070 Ti16 GBBest new value	about $1,170	91.6	7.8	30.5
RX 907016 GB	about $800	60.4	7.6	27.5
RX 9070 XT16 GB	about $815	60.4	7.4	19.9
RTX 508016 GB	about $1,690	98.1	5.8	27.3
RX 9060 XT 16GB16 GB	about $590	30.2	5.1	18.9
RTX 509032 GB	about $5,376	183	3.4	31.8

Card	Used price	tok/s	tok/s per $100	tok/s per 100 W
RX 907016 GBBest used value	about $650	60.4	9.3	27.5
RX 7900 XTX24 GB	about $1,000	90.6	9.1	25.5
RTX 5070 Ti16 GB	about $1,100	91.6	8.3	30.5
RTX 3090 Ti24 GB	about $1,600	103	6.4	22.9
RTX 309024 GB	about $1,500	95.7	6.4	27.3
RX 9060 XT 16GB16 GB	about $480	30.2	6.3	18.9
RTX 508016 GB	about $1,640	98.1	6.0	27.3
RTX 509032 GB	about $6,400	183	2.9	31.8

Cost per token: the RX 7900 XTX against 16–32 GB cards

On Qwen3.5 9B (9B params, Q4_K_M, 4K context). Speed, cost per token and power per token depend on the model.

16 GB24 GB32 GBthis card

Cost per 1M output tokenson Qwen3.5 9B · card over 3 years + power

$0.95

Card, new price: $0.79
Power: $0.16

3-year cost of ownership$1,363

Or rent an H100 in the cloud$2.69/hr

Renting costs as much as buying after ≈400 hours (≈0.3 years at 4 h a day).

Include card price

Power$/kWhUseh/dayKeepyears

Each dot is a card; hover or tap it for its numbers, click to open it. Cards without a price for the chosen basis are left out. How we calculate cost per token

Similar GPUs

Cards people weigh against the RX 7900 XTX, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

6% faster, same 24 GBRTX 3090NVIDIA · 24 GB · Ampere

▲ 6% speedsame 24 GB$1,499rent $0.19/hr

8 GB more, 102% faster for $4,246 moreRTX 5090NVIDIA · 32 GB · Blackwell

▲ 102% speed▲ $4,246 more▲ 8 GB$5,376rent $0.50/hr

Slower but $540 cheaperRX 9060 XT 16GBAMD · 16 GB · RDNA 4

▼ 67% speed▼ $540 less▼ 8 GB$590

Best value near the RX 7900 XTXRTX 5070 TiNVIDIA · 16 GB · Blackwell

same speed▼ 8 GB$1,170rent $0.17/hr

8 GB less, 8% faster for $560 moreRTX 5080NVIDIA · 16 GB · Blackwell

▲ 8% speed▲ $560 more▼ 8 GB$1,690rent $0.26/hr

14% faster, same 24 GBRTX 3090 TiNVIDIA · 24 GB · Ampere

▲ 14% speedsame 24 GB$1,999rent $0.27/hr

RX 7900 XTX tokens per second by model size

Output speed depends on memory bandwidth (960 GB/s). Grey rows need more than 24 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
90.6tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB
60.6tok/s
27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
33.1tok/s
35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
76.7tok/s
70BLlama 3.3 70B Instruct · not at 4-bit
needs 51.3 GB
120B MoEGPT OSS 120B · not at 4-bit
needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 1141 models on the RX 7900 XTX

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with AMD Radeon RX 7900 XTX — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
LFM2.5 8B A1B Opus Distil8.5BChatReasoning Q4_K_M·149.4 t/s	Q4_K_M	5.6 GB23%	149.4 t/s	128K	S97, Runs great
Phi 4 Reasoning14.7BChatMathCodeReasoning Q4_K_M·60.5 t/s	Q4_K_M	12.5 GB52%	60.5 t/s	33K	A84, Runs well
Tiny Qwen3MoeForCausalLM3MChatFunctions Q4_K_M·1920.0 t/s	Q4_K_M	0.6 GB2%	1920.0 t/s	41K	S100, Runs great
Ministral 3 14B Reasoning 251213.9BReasoningFunctions Q4_K_M·63.4 t/s	Q4_K_M	12.0 GB50%	63.4 t/s	262K	A84, Runs well
Veritas 8B Fact Checker Non Thinking 1.08.2BChat Q4_K_M·104.3 t/s	Q4_K_M	7.6 GB32%	104.3 t/s	41K	S92, Runs great
Functiongemma 270M Ft Mobile Actions270MChat BF16·976.3 t/s	BF16	1.6 GB7%	976.3 t/s	—	S100, Runs great
Quark 135M135MChat Q4_K_M·1339.5 t/s	Q4_K_M	0.4 GB2%	1339.5 t/s	2K	S100, Runs great
Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled9.7BChatReasoning Q4_K_M·90.6 t/s	Q4_K_M	6.6 GB28%	90.6 t/s	262K	S90, Runs great
MobileLLM R1 360M359MChatReasoning Q4_K_M·2400.0 t/s	Q4_K_M	1.3 GB6%	2400.0 t/s	—	S100, Runs great
CyberPal2.0 20B20.9BChatReasoning Q4_K_M·107.6 t/s	Q4_K_M	13.1 GB55%	107.6 t/s	131K	S92, Runs great
Agnes 3.0 Flash33.1BVisionReasoningFunctions IQ4_XS·31.0 t/s	IQ4_XS	22.1 GB92%	31.0 t/s	262K	B54, Decent
Phi Mini MoE Instruct7.6BChat Q4_K_M·109.1 t/s	Q4_K_M	5.4 GB23%	109.1 t/s	4K	S93, Runs great
Supergemma4 E4b Abliterated7.5BChat Q4_K_M·114.5 t/s	Q4_K_M	5.3 GB22%	114.5 t/s	131K	S94, Runs great
Qwen3 4B4.0BChatFunctions Q4_K_M·198.6 t/s	Q4_K_M	4.2 GB18%	198.6 t/s	41K	S100, Runs great
Qwen3 30B A3B30.5BChatFunctions Q4_K_M·75.9 t/s	Q4_K_M	19.4 GB81%	75.9 t/s	41K	S86, Runs great

RX 7900 XTX specs, power and PSU

Specs

Architecture: RDNA 3
VRAM: 24 GB GDDR6
Memory bandwidth: 960.0 GB/s
FP16 (dense): 122.80 TFLOPS
Stream processors: 6,144
TDP: 355 W
Released: 2022-12-13
MSRP: $999

RX 7900 XTX FAQ

Is the RX 7900 XTX still worth it in 2026?

At ≈$1,130 you get 8.0 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 7 cards compared here; it is also the 4th fastest out of 5 cards with 24 GB. It runs 27–31B and 35B MoE models well; 70B doesn't fit in 24 GB.

What is the largest model the RX 7900 XTX can run?

Qwen3.6 35B A3B (36.0B) is the largest at 4-bit or better: at Q4_K_M it uses 22.0 GB of 24 GB, and runs at about 76.7 tok/s.

Can the RX 7900 XTX run Qwen3.8 27B?

Yes. Qwen3.8 27B fits at Q4_K_M, using 17.9 GB of 24 GB, and it is the best model that runs well on this card.

Can the RX 7900 XTX run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 24 GB on this card.

How many tokens per second does the RX 7900 XTX give?

About 33.1 tok/s on Qwen3.8 27B at Q4_K_M, with the first token after 8.4 s on a 4K-token prompt.

What power supply does the RX 7900 XTX need?

Plan a 750 W PSU (2× the 355 W TDP).

Is 24 GB enough for coding and agents?

Yes for coding: Qwen3.8 27B, the best of the 9 coding models that fit, runs at about 33 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Is renting cheaper than buying an RX 7900 XTX?

An H100 (80 GB) rents from $2.69/hr. Renting costs as much as buying after ≈400 hours (≈0.3 years at 4 h a day).

Best coding LLMs 24 GB VRAM 48 GB VRAM GPUs with 24 GB or more TITAN RTX RX 7900 XT