NVIDIA · Blackwell · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5060 (8 GB)

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

8 GB GDDR7448 GB/s38 TFLOPS FP16145 WBlackwell 2025

What LLMs can the RTX 5060 run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 47.7 t/s	47.7 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 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 · 45.8 t/s	45.8 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 58.4 t/s	58.4 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 47.7 t/s	47.7 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 54.7 t/s	54.7 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s	Q4_K_M · 5.5 GB
5	MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 153 t/s	153 tok/s	Q4_K_M · 2.5 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 221 t/s	221 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 54.7 t/s	54.7 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 45.8 t/s	45.8 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 89.3 t/s	89.3 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 103 t/s	103 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 46.9 t/s	46.9 tok/s	Q4_K_M · 6.5 GB
5	LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 171 t/s	171 tok/s	Q4_K_M · 2.4 GB

See all 216 models on the RTX 5060 →Best quant that fits · speeds estimated on this card

About the RTX 5060

The RTX 5060 is one of the fastest 8 GB cards: it runs 7–9B models well. It is the most efficient per watt in its tier, and the best speed per dollar of the cards compared at ≈$460. Blackwell generation, released 2025.

Speed in 8 GB#2448 GB/s

Per watt#10.32 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#110.0 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationBlackwellreleased 2025

RTX 5060 strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 45.8 tok/s in 6.6 GB
Low power draw: 145 W board power; a 300 W PSU is enough

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
Priced well above MSRP: ≈$460 new vs its $299 MSRP (+54%)

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
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 RTX 5060 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 card

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

$0.77

Card, new price: $0.64
Power: $0.13

3-year cost of ownership$555

Or rent an RTX 3090 in the cloud$0.17/hr

Renting costs as much as buying after ≈2,700 hours (≈1.9 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 RTX 5060, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

4 GB more and 12% fasterRTX 4070NVIDIA · 12 GB · Ada Lovelace

▲ 12% speed▲ 4 GB$599rent $0.15/hr

4 GB more, 50% faster for $380 moreRTX 5070NVIDIA · 12 GB · Blackwell

▲ 50% speed▲ $380 more▲ 4 GB$840rent $0.15/hr

36% slower, same 8 GBRTX 4060 Ti 8GBNVIDIA · 8 GB · Ada Lovelace

▼ 36% speedsame 8 GB$399rent $0.18/hr

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

▼ 20% speed▲ 4 GB$329rent $0.06/hr

36% faster, same 8 GBRTX 3070 TiNVIDIA · 8 GB · Ampere

▲ 36% speedsame 8 GB$599rent $0.18/hr

8 GB more and 50% fasterRTX 4070 Ti SUPERNVIDIA · 16 GB · Ada Lovelace

▲ 50% speed▲ 8 GB$799rent $0.16/hr

RTX 5060 tokens per second by model size

Output speed depends on memory bandwidth (448 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
45.8tok/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 216 models on the RTX 5060

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 NVIDIA GeForce RTX 5060 — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
D1 3B3.1BVisionFunctions Q4_K_M·126.6 t/s	Q4_K_M	2.6 GB32%	126.6 t/s	33K	S95, Runs great
D1 2B1.9BVisionFunctions Q4_K_M·187.9 t/s	Q4_K_M	2.3 GB28%	187.9 t/s	128K	S99, Runs great
North Micro Vision Instruct2.5BVisionChat Q4_K_M·143.4 t/s	Q4_K_M	3.7 GB46%	143.4 t/s	500K	S96, Runs great
WeVisOne VL 2B2.4BVisionFunctions Q4_K_M·145.6 t/s	Q4_K_M	3.6 GB46%	145.6 t/s	262K	S97, Runs great
MiniCPM V 4.61.3BVisionFunctions Q4_K_M·257.7 t/s	Q4_K_M	1.5 GB19%	257.7 t/s	262K	S100, Runs great
NVIDIA Nemotron Labs Dory1.0 4B BF164.0BChatFunctions Q4_K_M·95.2 t/s	Q4_K_M	5.7 GB71%	95.2 t/s	262K	S90, Runs great
Gemma 4 E2B IT5.1BChatFunctions Q4_K_M·84.9 t/s	Q4_K_M	3.5 GB44%	84.9 t/s	131K	S88, Runs great
D1 Omni 600M587MVision Q4_K_M·404.4 t/s	Q4_K_M	1.2 GB15%	404.4 t/s	128K	S100, Runs great
MinerU2.5 Pro 2605 1.2B1.2BVision Q4_K_M·285.5 t/s	Q4_K_M	1.1 GB14%	285.5 t/s	8K	S100, Runs great
Granite Vision 4.1 4B4.0BVisionFunctions Q4_K_M·101.5 t/s	Q4_K_M	4.0 GB51%	101.5 t/s	131K	S92, Runs great
Cosmos Reason2 2B2.4BVisionChatReasoningFunctions Q4_K_M·180.9 t/s	Q4_K_M	3.5 GB43%	180.9 t/s	—	S99, Runs great
FrogNano 4B 26094.7BChatFunctions Q4_K_M·89.3 t/s	Q4_K_M	3.4 GB43%	89.3 t/s	262K	S89, Runs great
MiniCPM V 4.6 Thinking1.3BVisionFunctions Q4_K_M·257.7 t/s	Q4_K_M	1.5 GB19%	257.7 t/s	262K	S100, Runs great
WeVisOne VL 4B4.8BVisionFunctions Q4_K_M·85.9 t/s	Q4_K_M	4.7 GB59%	85.9 t/s	262K	S88, Runs great
Clef Flash9.4BVisionFunctions Q4_K_M·46.9 t/s	Q4_K_M	6.5 GB81%	46.9 t/s	262K	A77, Runs well

RTX 5060 specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 8 GB GDDR7
Memory bandwidth: 448.0 GB/s
FP16 (dense): 38.40 TFLOPS
CUDA cores: 3,840
Tensor cores: 120
Compute capability: 12.0
TDP: 145 W
Released: 2025-05-19
MSRP: $299

RTX 5060 FAQ

Is the RTX 5060 still worth it in 2026?

At ≈$460 you get 10.0 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 3 cards compared here; it is also the 2nd 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 RTX 5060 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 45.8 tok/s.

Can the RTX 5060 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 RTX 5060 give?

About 45.8 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 4.6 s on a 4K-token prompt.

What power supply does the RTX 5060 need?

Plan a 300 W PSU (2× the 145 W TDP).

Is renting cheaper than buying an RTX 5060?

An RTX 3090 (24 GB) rents from $0.17/hr. Renting costs as much as buying after ≈2,700 hours (≈1.9 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