Intel · Alchemist · 8 GB VRAM tier

Best AI Models for Intel Arc A750 (8 GB)

Runs 7–9B models well; 14B doesn't fit in 8 GB.

8 GB GDDR6512 GB/s115 TFLOPS FP16225 WAlchemist 2022

What LLMs can the Arc A750 run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 40.3 t/s	40.3 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 78.5 t/s	78.5 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 42.0 t/s	42.0 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 90.1 t/s	90.1 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 118 t/s	118 tok/s	Q4_K_M · 5.5 GB

#	Model	Speed	Reasoning Score	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 40.3 t/s	40.3 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 90.1 t/s	90.1 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 51.3 t/s	51.3 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 42.0 t/s	42.0 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 118 t/s	118 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 78.5 t/s	78.5 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 40.3 t/s	40.3 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 48.1 t/s	48.1 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 118 t/s	118 tok/s	Q4_K_M · 5.5 GB
5	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 135 t/s	135 tok/s	Q4_K_M · 2.5 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 78.5 t/s	78.5 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 118 t/s	118 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 48.1 t/s	48.1 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 40.3 t/s	40.3 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 40.3 t/s	40.3 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 78.5 t/s	78.5 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 90.1 t/s	90.1 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 41.2 t/s	41.2 tok/s	Q4_K_M · 6.5 GB
5	MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 200 t/s	200 tok/s	Q4_K_M · 1.6 GB

See all 216 models on the Arc A750 →Best quant that fits · speeds estimated on this card

About the Arc A750

The Arc A750 is a solid mid-range card in the 8 GB class: it runs 7–9B models well. It is power-hungry for its speed, and at its $289 MSRP it gave the best speed per dollar of the cards compared. Alchemist generation, released 2022.

Speed in 8 GB#6512 GB/s

Per watt#90.18 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#113.9 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationAlchemistreleased 2022

Arc A750 strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 40.3 tok/s in 6.6 GB

Weaknesses

14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
oneAPI, not CUDA: No FP8 or NVFP4 weights and no vLLM AWQ or GPTQ; use GGUF builds

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 Arc A750 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
Arc A7508 GB	about $289	40.3	13.9	17.9
RTX 50608 GBBest new value	about $460	45.8	10.0	31.6
RTX 507012 GB	about $840	68.7	8.2	27.5
RTX 40608 GB	about $520	27.8	5.3	24.2

Card	Used price	tok/s	tok/s per $100	tok/s per 100 W
RTX 50608 GBBest used value	about $388	45.8	11.8	31.6
RTX 3060 12GB12 GB	about $329	36.8	11.2	21.6
RTX 507012 GB	about $736	68.7	9.3	27.5
RTX 407012 GB	about $575	51.5	9.0	25.8
RTX 40608 GB	about $335	27.8	8.3	24.2
RTX 4060 Ti 8GB8 GB	about $362	29.4	8.1	18.4
RTX 4070 SUPER12 GB	about $675	51.5	7.6	23.4
RTX 4070 Ti12 GB	about $722	51.5	7.1	18.1

Cost per token: the Arc A750 against 8–12 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.

8 GB12 GBthis cardat MSRP

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

$0.69

Card, MSRP: $0.45
Power: $0.23

3-year cost of ownership$437

Or rent an RTX 3090 in the cloud$0.19/hr

Renting costs as much as buying after ≈1,500 hours (≈1.0 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 Arc A750, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

14% faster, same 8 GBRTX 5060NVIDIA · 8 GB · Blackwell

▲ 14% speedsame 8 GB$460

4 GB more and 71% fasterRTX 5070NVIDIA · 12 GB · Blackwell

▲ 71% speed▲ 4 GB$840rent $0.17/hr

4 GB more, but slowerRTX 3060 12GBNVIDIA · 12 GB · Ampere

▼ 9% speed▲ 4 GB$329rent $0.06/hr

31% slower, same 8 GBRTX 4060NVIDIA · 8 GB · Ada Lovelace

▼ 31% speedsame 8 GB$520rent $0.09/hr

8 GB more and 70% fasterRTX 4070 Ti SUPERNVIDIA · 16 GB · Ada Lovelace

▲ 70% speed▲ 8 GB$799rent $0.15/hr

8 GB more and 82% fasterRTX 4080NVIDIA · 16 GB · Ada Lovelace

▲ 82% speed▲ 8 GB$1,199rent $0.24/hr

Arc A750 tokens per second by model size

Output speed depends on memory bandwidth (512 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
40.3tok/s
14BQwen3 14B · not at 4-bit
needs 11.9 GB
27–31BQwen3.8 27B · not at 4-bit
needs 17.9 GB
35B MoEQwen3.6 35B A3B · not at 4-bit
needs 22.0 GB
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 822 models on the Arc A750

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 Intel Arc A750 — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
InternVL2 2B2.2BVision Q4_K_M·175.3 t/s	Q4_K_M	3.3 GB41%	175.3 t/s	—	S99, Runs great
LightOnOCR 3 4B4.5BVisionFunctions Q4_K_M·80.3 t/s	Q4_K_M	3.4 GB42%	80.3 t/s	262K	S88, Runs great
Dots.mocr3.0BVision Q4_K_M·117.4 t/s	Q4_K_M	2.6 GB32%	117.4 t/s	131K	S94, Runs great
VibeThinker 1.5B1.8BChatMathCode Q4_K_M·180.3 t/s	Q4_K_M	1.8 GB23%	180.3 t/s	131K	S99, Runs great
Distil Qwen3 0.6B Text2sql596MChat Q4_K_M·328.2 t/s	Q4_K_M	1.6 GB20%	328.2 t/s	41K	S100, Runs great
AFM 4.5B4.6BChat Q4_K_M·79.5 t/s	Q4_K_M	4.3 GB54%	79.5 t/s	66K	S88, Runs great
Turkish Gemma 4B T1 Scout4.3BChatFunctionsReasoning Q4_K_M·79.0 t/s	Q4_K_M	3.6 GB45%	79.0 t/s	131K	S87, Runs great
Jina Ocr V13.4BVision Q4_K_M·174.2 t/s	Q4_K_M	3.3 GB42%	174.2 t/s	33K	S98, Runs great
Tiny DeepseekV3ForCausalLM 05284MChatFunctions Q4_K_M·853.3 t/s	Q4_K_M	0.3 GB4%	853.3 t/s	164K	S100, Runs great
Qwen3 14B PARO1.6BChat Q4_K_M·163.1 t/s	Q4_K_M	3.9 GB49%	163.1 t/s	41K	S97, Runs great
Penguin VL 2B2.2BChatVision BF16·52.6 t/s	BF16	6.5 GB81%	52.6 t/s	41K	A79, Runs well
Dhara 70M71MChatCode BF16·522.4 t/s	BF16	0.5 GB6%	522.4 t/s	1K	S100, Runs great
Phi Tiny MoE Instruct3.8BChat Q4_K_M·98.2 t/s	Q4_K_M	3.1 GB39%	98.2 t/s	4K	S91, Runs great
Tiny DeepseekV3ForCausalLM4MChatFunctions Q4_K_M·853.3 t/s	Q4_K_M	0.3 GB4%	853.3 t/s	164K	S100, Runs great
OLMo 2 0425 1B Instruct1.5BChat Q4_K_M·175.3 t/s	Q4_K_M	1.7 GB22%	175.3 t/s	4K	S99, Runs great

Arc A750 specs, power and PSU

Specs

Architecture: Alchemist
VRAM: 8 GB GDDR6
Memory bandwidth: 512.0 GB/s
FP16 (dense): 114.50 TFLOPS
TDP: 225 W
Released: 2022-10-12
MSRP: $289

Arc A750 FAQ

Is the Arc A750 still worth it in 2026?

At its MSRP of $289 you get 13.9 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 4 cards compared here; it is also the 6th fastest out of 12 cards with 8 GB. It runs 7–9B models well; 14B doesn't fit in 8 GB.

What is the largest model the Arc A750 can run?

Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 40.3 tok/s.

Can the Arc A750 run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.

How many tokens per second does the Arc A750 give?

About 40.3 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 3.8 s on a 4K-token prompt.

What power supply does the Arc A750 need?

Plan a 450 W PSU (2× the 225 W TDP).

Is renting cheaper than buying an Arc A750?

An RTX 3090 (24 GB) rents from $0.19/hr. Renting costs as much as buying after ≈1,500 hours (≈1.0 years at 4 h a day).

Best coding LLMs 8 GB VRAM 12 GB VRAM GPUs with 8 GB or more RTX 5080 RTX 3080 Ti