Best AI Models for AMD Radeon RX 7900 GRE (16 GB)

Runs 14B models well; 27–31B only just fits.

16 GB GDDR6576 GB/s92 TFLOPS FP16260 WRDNA 3 2024

What LLMs can the RX 7900 GRE run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 106 t/s	106 tok/s	Q4_K_M · 3.4 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 81.3 t/s	81.3 tok/s	Q4_K_M · 13.1 GB
4	Phi 4Microsoft Q4_K_M · 12.5 GB · 36.3 t/s	36.3 tok/s	Q4_K_M · 12.5 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 42.0 t/s	42.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Coding Score	Quant · VRAM
1	GPT OSS 20BOpenAIHow to run → Q4_K_M · 13.1 GB · 81.3 t/s	81.3 tok/s		Q4_K_M · 13.1 GB
2	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 65.2 t/s	65.2 tok/s		Q4_K_M · 7.9 GB
3	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	overall	Q4_K_M · 6.6 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 42.0 t/s	42.0 tok/s		Q4_K_M · 9.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 133 t/s	133 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 6.6 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 81.3 t/s	81.3 tok/s	Q4_K_M · 13.1 GB
3	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 62.6 t/s	62.6 tok/s	Q4_K_M · 7.6 GB
4	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 65.2 t/s	65.2 tok/s	Q4_K_M · 7.9 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 42.0 t/s	42.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 106 t/s	106 tok/s	Q4_K_M · 3.4 GB
3	Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 42.8 t/s	42.8 tok/s	Q4_K_M · 11.0 GB
4	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 65.2 t/s	65.2 tok/s	Q4_K_M · 7.9 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 42.0 t/s	42.0 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 106 t/s	106 tok/s	Q4_K_M · 3.4 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 81.3 t/s	81.3 tok/s	Q4_K_M · 13.1 GB
3	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 6.6 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 42.0 t/s	42.0 tok/s	Q4_K_M · 9.0 GB
5	Phi 4Microsoft Q4_K_M · 12.5 GB · 36.3 t/s	36.3 tok/s	Q4_K_M · 12.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 54.3 t/s	54.3 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 106 t/s	106 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 43.0 t/s	43.0 tok/s	Q4_K_M · 10.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 122 t/s	122 tok/s	Q4_K_M · 5.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 55.7 t/s	55.7 tok/s	Q4_K_M · 6.5 GB

See all 307 models on the RX 7900 GRE →Best quant that fits · speeds estimated on this card

About the RX 7900 GRE

The RX 7900 GRE is a solid mid-range card in the 16 GB class: it runs 14B models well. It is more efficient per watt than most 16 GB cards, and at its $549 MSRP it gave the best speed per dollar of the cards compared. RDNA 3 generation, released 2024.

Speed in 16 GB#9576 GB/s

Per watt#90.21 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#19.9 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationRDNA 3released 2024

RX 7900 GRE strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 71.5 tok/s in 15.7 GB

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 16 GB here
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. The RX 7900 GRE has no current price, so it is shown at its MSRP.

Card	New price	tok/s	tok/s per $100	tok/s per 100 W
RX 7900 GRE16 GB	about $549	54.3	9.9	20.9
RTX 507012 GB	about $840	68.7	8.2	27.5
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

Card	Used price	tok/s	tok/s per $100	tok/s per 100 W
RTX 3060 12GB12 GBBest used value	about $329	36.8	11.2	21.6
RX 907016 GB	about $650	60.4	9.3	27.5
RX 7900 XTX24 GB	about $1,000	90.6	9.1	25.5
RTX 407012 GB	about $575	51.5	9.0	25.8
RTX 5070 Ti16 GB	about $1,100	91.6	8.3	30.5
RTX 4070 SUPER12 GB	about $675	51.5	7.6	23.4
RTX 4070 Ti12 GB	about $722	51.5	7.1	18.1
RTX 309024 GB	about $1,500	95.7	6.4	27.3

Similar GPUs

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

11% faster, same 16 GBRX 9070AMD · 16 GB · RDNA 4

▲ 11% speedsame 16 GB$800

8 GB more and 67% fasterRX 7900 XTXAMD · 24 GB · RDNA 3

▲ 67% speed▲ 8 GB$1,130

8 GB more and 76% fasterRTX 3090NVIDIA · 24 GB · Ampere

▲ 76% speed▲ 8 GB$1,499rent $0.19/hr

19% slower, same 16 GBA770 16GBIntel · 16 GB · Alchemist

▼ 19% speedsame 16 GB$349

4 GB more and 39% fasterRX 7900 XTAMD · 20 GB · RDNA 3

▲ 39% speed▲ 4 GB$899

More efficient per wattRTX 5090 Laptop GPUNVIDIA · 24 GB · Blackwell

▲ 69% speed▲ 8 GB

RX 7900 GRE tokens per second by model size

Output speed depends on memory bandwidth (576 GB/s). Grey rows need more than 16 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
54.3tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB
36.4tok/s
27–31BQwen3.8 27B · Q3_K_L · 15.4 GB tight · Q3_K_L
23.1tok/s
35B MoEQwen3.6 35B A3B · IQ3_S · 15.7 GB tight · IQ3_S
71.5tok/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 1057 models on the RX 7900 GRE

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 GRE — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Qwen2 0.5B494MChat Q4_K_M·557.4 t/s	Q4_K_M	0.8 GB5%	557.4 t/s	131K	S100, Runs great
Yi 1.5 34B Chat34.4BChat IQ3_S·22.4 t/s	IQ3_S	15.9 GB100%	22.4 t/s	4K	C31, Usable
Internlm Chat 20B20BChat Q3_K_M·27.5 t/s	Q3_K_M	15.1 GB94%	27.5 t/s	4K	B47, Decent
Qwen2 1.5B1.5BChat Q4_K_M·270.0 t/s	Q4_K_M	1.7 GB11%	270.0 t/s	131K	S100, Runs great
Qwen2.5 14B14.8BChatFunctions Q4_K_M·36.2 t/s	Q4_K_M	12.4 GB77%	36.2 t/s	131K	A73, Runs well
Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated36.0BChatReasoning Q2_K·71.5 t/s	Q2_K	15.7 GB98%	71.5 t/s	262K	C44, Usable
Qwen2.5 Coder 32B Instruct32.8BChatCodeFunctions IQ2_M·29.1 t/s	IQ2_M	15.7 GB98%	29.1 t/s	33K	C42, Usable
Internlm2 Chat 7B7.7BChat Q4_K_M·66.3 t/s	Q4_K_M	7.1 GB44%	66.3 t/s	33K	S85, Runs great
Phi 3 Medium 4k Instruct14.0BChatCode Q4_K_M·38.0 t/s	Q4_K_M	9.5 GB60%	38.0 t/s	4K	A74, Runs well
Mistral 7B Instruct v0.17.2BChat Q4_K_M·70.4 t/s	Q4_K_M	6.8 GB42%	70.4 t/s	33K	S86, Runs great
Qwen1.5 7B7.7BChat Q4_K_M·57.5 t/s	Q4_K_M	13.5 GB85%	57.5 t/s	33K	A76, Runs well
Qwen2.5 Math 7B7.6BChatMathFunctions Q4_K_M·69.3 t/s	Q4_K_M	5.1 GB32%	69.3 t/s	4K	S86, Runs great
Meta Llama 3 8B8.0BChat Q4_K_M·65.2 t/s	Q4_K_M	7.9 GB49%	65.2 t/s	—	A84, Runs well
Qwen2 7B7.6BChat Q4_K_M·69.3 t/s	Q4_K_M	5.8 GB36%	69.3 t/s	131K	S86, Runs great
Qwen 7B Chat7.7BChat Q4_K_M·67.8 t/s	Q4_K_M	7.6 GB48%	67.8 t/s	33K	S85, Runs great

RX 7900 GRE specs, power and PSU

Specs

Architecture: RDNA 3
VRAM: 16 GB GDDR6
Memory bandwidth: 576.0 GB/s
FP16 (dense): 91.96 TFLOPS
Stream processors: 5,120
TDP: 260 W
Released: 2024-02-27
MSRP: $549

RX 7900 GRE FAQ

Is the RX 7900 GRE still worth it in 2026?

At its MSRP of $549 you get 9.9 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 8 cards compared here; it is also the 9th fastest out of 17 cards with 16 GB. It runs 14B models well; 27–31B only just fits.

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

Gemma 4 26B A4B IT (25.8B) is the largest at 4-bit or better: at Q4_K_S it uses 15.5 GB of 16 GB, and runs at about 74.2 tok/s. At 3-bit, a bigger model fits too: Gemma 2 27B IT (27.2B) at IQ3_M, 15.0 GB.

Can the RX 7900 GRE run Qwen3.5 9B?

Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of 16 GB, and it is the best model that runs well on this card.

Can the RX 7900 GRE run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 16 GB on this card.

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

About 54.3 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 3.9 s on a 4K-token prompt.

What power supply does the RX 7900 GRE need?

Plan a 550 W PSU (2× the 260 W TDP).

Is 16 GB enough for coding and agents?

Yes for coding: GPT OSS 20B, the best of the 2 coding models that fit, runs at about 81 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Is renting cheaper than buying an RX 7900 GRE?

An RTX 3090 (24 GB) rents from $0.19/hr. Renting costs as much as buying after ≈2,900 hours (≈2.0 years at 4 h a day).

Best coding LLMs 16 GB VRAM 24 GB VRAM GPUs with 16 GB or more RTX 5090 RTX 3090 Ti