NVIDIA GeForce RTX 5060

8 GB · 448 GB/s · 145 W

In short

The NVIDIA GeForce RTX 5060 has 8 GB of GDDR7 memory with 448 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 38 of the 129 open models we track fully in memory; the most capable is gpt-oss 20B at MXFP4, at about 63 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5060 in Germany is 449 € at eBay; used, it starts at 414 € (asking price).

Updated . Speeds are estimates; how they are worked out.

Prices

Every retailer we track in Germany, cheapest first. Buy links may earn us a commission.

RetailerConditionPriceStockCheckedBuy
eBayPalit GeForce RTX 5060 Infinity 2 OC 8GB GDDR7 Grafikkarteused, asking price414 €+ 6 € deliveryIn stock35 min agoBuy
eBayUsed GeForce RTX 5060 on eBayused, asking price455 €In stock22 min agoBuy
eBayGigabyteused, asking price447 €+ 8 € deliveryIn stock35 min agoBuy
eBayINNO3D GeForce RTX 5060 Twin X2 8GB GDDR7 PCIe 5.0 x16 Grafikkarte NeuNew449 €+ 6 € deliveryIn stock35 min agoBuy
eBayASUS Dual GeForce RTX 5060 OC 8GB GDDR7 Grafikkarte PCIe 5.0used, asking price450 €+ 8 € deliveryIn stock35 min agoBuy
AmazonASUS Dual GeForce RTX 5060 8GB OC Edition GDDR7 Gaming Graphics CardNew485 €In stock4 h agoBuy
AmazonASUS Dual GeForce RTX 5060 8GB GDDR7 White OC Edition Gaming Graphics CardNew490 €In stock4 h agoBuy
eBayASUS Dual GeForce RTX 5060 OC 8GB GDDR7 DUAL-RTX5060-O8G Grafikkarte NEU OVPNew494 €In stock35 min agoBuy
AmazonASUS Dual GeForce RTX 5060 8GB GDDR7 OC Ed. Advanced Gaming Graphics CardNew499 €In stock4 h agoBuy
AmazonGigabyte GeForce RTX 5060 WINDFORCE OC 8G Graphics CardNew499 €In stock10 h agoBuy
eBayGIGABYTE GeForce RTX 5060 Windforce OC 8GNew500 €+ 7 € deliveryIn stock35 min agoBuy
eBayMSI GeForce Nvidia RTX 5060 VENTUS 2X OC Plus 8GB GDDR7 1xHDMI 3xDP Neu OVPNew500 €+ 9 € deliveryIn stock35 min agoBuy
eBayASUS TUF Gaming GeForce RTX 5060 OC 8GB GDDR7 Grafikkarte PCIe 5.0. Neu & OVP ✅✅New515 €In stock35 min agoBuy
AmazonGigabyte GeForce RTX 5060 WINDFORCE MAX OC V2 8GNew519 €In stock5 h agoBuy
eBayASUS PRIME-RTX5060-O8G NVIDIA Grafikkarteused, asking price522 €In stock35 min agoBuy
eBayASUS PRIME-RTX5060-O8G NVIDIA Grafikkarteused, asking price527 €In stock35 min agoBuy
AmazonGigabyte GeForce RTX 5060 WINDFORCE MAX OC 8G Graphics CardNew529 €In stock5 h agoBuy
AmazonASUS TUF Gaming GeForce RTX 5060 OC Edition 8GB GDDR7 Gaming Graphics CardNew529 €In stock4 h agoBuy
eBayGrafikkarte Palit GeForce RTX 5060 Infinity 2 OC 8GB GDDR7 Reflex 2 RTX AI DLSS4New530 €+ 6 € deliveryIn stock35 min agoBuy
eBayGrafikkarte MSI GeForce RTX 5060 Ventus 2X OC 8GB GDDR7 HDMI DisplayPort GamingNew530 €+ 7 € deliveryIn stock35 min agoBuy
AmazonMSI RTX5060 Ventus 2X OC V1 8GB GDDR7 HDMI 3xDPNew539 €In stock4 h agoBuy
eBayASUS GeForce RTX 5060 Dual OC 8GB GDDR7 DLSS4New546 €In stock35 min agoBuy
eBayGigaByte GeForce RTX 5060 Windforce Max OC 8 GB GDDR7 128 Bit 28 Gbit/sNew546 €In stock35 min agoBuy
eBayASUS PRIME-RTX5060-O8G NVIDIA GrafikkarteNew549 €In stock35 min agoBuy
eBayGigabyte GeForce RTX 5060 WINDFORCE OC 8GB GDDR7 PCIe 5.0 3xDP HDMINew550 €In stock35 min agoBuy
eBayASUS Dual GeForce RTX 5060 8GB GDDR7 OC Edition Advanced Gaming GrafikkarteNew551 €In stock35 min agoBuy
eBayGIGABYTE GeForce RTX 5060 OC Low Profile 8GB GDDR7 PCIe 5.0 DP/HDMIused, asking price549 €+ 6 € deliveryIn stock35 min agoBuy
AmazonGIGABYTE AORUS GeForce RTX 5060 ARI 8G Graphics CardNew589 €In stock4 h agoBuy
eBayZOTAC GAMING GeForce RTX 5060 Low Profile 8GB GDDR7 PCIe x16 HDMI/DPused, asking price600 €+ 6 € deliveryIn stock35 min agoBuy
AmazonASUS GeForce RTX 5060 LP BRK 8GB OC Edition Low Profile Gaming GraphicsNew682 €+ 5 € deliveryIn stock4 h agoBuy
eBayASUS Prime NVIDIA GeForce RTX 5060 8 GB + 64 GB Kingston Fury Beast DDR5 RAMused, asking price1.450 €+ 8 € deliveryIn stock35 min agoBuy

Used on eBay: median asking price 455 €, most between 448 € and 527 € (6 listings, 2026-11-04). Used price history

Price history

Lowest price shown each day over the last 90 days.

402 €432 €462 €2026-11-032026-11-04
Lowest new priceLowest used asking price

What two of them run

Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.

ModelQuantFitsMemoryMax contextDecode @8kPrefillGood for
gpt-oss 20B

OpenAI

MXFP4fits12.6 GB82k128k with q8 cache

63tok/sest.

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

Google

Q8_0fits13.4 GB73k122k with q8 cache

21tok/sest.

343 tok/schat, coding
Qwen 3.5 9B

Alibaba Qwen

Q8_0fits10.3 GB128k212k with q8 cache

28tok/sest.

435 tok/schat, coding, long documents
Ministral 3 14B

Mistral AI

Q6_Kfits12.7 GB20k37k with q8 cache

22tok/sest.

282 tok/schat
Qwen3 14B

Alibaba Qwen

Q6_Kfits13.7 GB14k27k with q8 cache

21tok/sest.

262 tok/schat
DeepSeek R1 0528 Qwen3 8B

DeepSeek

Q8_0fits10.4 GB38k69k with q8 cache

28tok/sest.

459 tok/schat, coding
Qwen3 8B

Alibaba Qwen

Q8_0fits10.4 GB38k40k with q8 cache

28tok/sest.

459 tok/schat, coding
Phi-4 14B

Microsoft

Q6_Kfits13.9 GB12k16k with q8 cache

20tok/sest.

264 tok/schat
Qwen 3.5 4B

Alibaba Qwen

Q8_0fits5.6 GB255k256k with q8 cache

58tok/sest.

876 tok/schat, coding, long documents
Ministral 3 8B

Mistral AI

Q8_0fits10.6 GB38k69k with q8 cache

27tok/sest.

429 tok/schat, coding
Granite 4.2 8B

IBM

Q8_0fits11.1 GB30k56k with q8 cache

26tok/sest.

426 tok/schat
Gemma 4 E4B

Google

Q8_0fits9.0 GB128k

33tok/sest.

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

Liquid AI

Q8_0fits9.9 GB100k125k with q8 cache

114tok/sest.

3076 tok/schat, coding, long documents
Llama 3.1 8B

Meta

Q6_Kfits8.3 GB57k104k with q8 cache

36tok/sest.

474 tok/schat, coding
Qwen2.5 0.5B

Alibaba Qwen

Q8_0fits1.7 GB32k

440tok/sest.

6438 tok/schat, coding, long documents
Qwen3.5 0.8B

Alibaba Qwen

Q8_0fits2.0 GB256k

298tok/sest.

4430 tok/schat, coding, agents, long documents
Qwen3.5 2B

Alibaba Qwen

Q5_K_Mfits2.6 GB256k

179tok/sest.

1817 tok/schat, coding, agents, long documents
LFM3 1.7B

Liquid AI

Q8_0fits3.0 GB256k

142tok/sest.

2334 tok/schat, coding, agents, long documents
DeepSeek R1 Distill Qwen 1.5B

DeepSeek

Q8_0fits3.1 GB128k

130tok/sest.

2026 tok/schat, coding, long documents
MiniCPM5 2B

openbmb

Q8_0fits4.0 GB128k

92tok/sest.

1339 tok/schat, coding, agents, long documents
LFM2.5 2.6B

Liquid AI

Q8_0fits4.3 GB128k

82tok/sest.

1348 tok/schat, coding, agents, long documents
LFM2.5 VL 3B

Liquid AI

Q8_0fits4.3 GB32k

82tok/sest.

1190 tok/schat, coding, agents, long documents
Spark X2.5 4B

XHToken

mlx-4bitfits4.3 GB263k441k with q8 cache

82tok/sest.

953 tok/schat, coding, agents, long documents
Kimi VL A3B Thinking 2506

Moonshot AI

Q4_K_Mfits11.2 GB109k128k with q8 cache

76tok/sest.

1250 tok/schat, coding, long documents
granite vision 4.1 4b

IBM

Q8_0fits5.1 GB122k128k with q8 cache

65tok/sest.

892 tok/schat, coding
Ministral 3 3B Instruct 2512

Mistral AI

Q8_0fits5.4 GB95k172k with q8 cache

61tok/sest.

914 tok/schat, coding, agents
granite 4.2 3b

IBM

Q8_0fits5.4 GB119k128k with q8 cache

61tok/sest.

959 tok/schat, coding, agents
Kimi VL A3B

Moonshot AI

mlx-6bitfits14.3 GB23k37k with q8 cache

60tok/sest.

1173 tok/schat, coding, agents
Mellum2.1 12B A2.5B Thinking

JetBrains

Q8_0fits13.3 GB83k125k with q8 cache

59tok/sest.

1482 tok/schat, coding, agents, long documents
FrogNano 4B 2609

Microsoft

Q8_0fits5.7 GB251k256k with q8 cache

56tok/sest.

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

DeepSeek

Q8_0fits9.1 GB101k128k with q8 cache

32tok/sest.

511 tok/schat, coding
GLM 4 9B 0414

Z.ai

mlx-5bitfits9.1 GB32k

32tok/sest.

402 tok/schat, coding
DeepSeek R1 Distill Llama 8B

DeepSeek

Q8_0fits10.1 GB43k79k with q8 cache

29tok/sest.

474 tok/schat, coding
Ministral 3 8B Reasoning 2512

Mistral AI

Q8_0fits10.6 GB38k69k with q8 cache

27tok/sest.

429 tok/schat, coding
GLM 4.6V Flash

Z.ai

Q8_0fits10.8 GB97k128k with q8 cache

27tok/sest.

371 tok/schat, coding
GLM 4.1V 9B Thinking

Z.ai

mlx-8bitfits12.4 GB60k64k with q8 cache

23tok/sest.

371 tok/schat, coding
Ministral 3 14B Reasoning 2512

Mistral AI

Q6_Kfits12.7 GB20k37k with q8 cache

22tok/sest.

282 tok/schat
DeepSeek R1 Distill Qwen 14B

DeepSeek

Q6_Kfits13.9 GB12k22k with q8 cache

20tok/sest.

257 tok/schat
Qwen 3.8 27B

Alibaba Qwen

UD-Q4_K_Moffload17.1 GB–

10tok/sest.

138 tok/s–
Qwen 3.5 122B-A10B

Alibaba Qwen

UD-Q2_K_XLoffload40.4 GB–

12tok/sest.

243 tok/s–
Qwen 3.6 27B

Alibaba Qwen

Q4_K_Moffload17.4 GB–

10tok/sest.

136 tok/s–
Gemma 4 31B

Google

Q4_K_Moffload19.6 GB–

7tok/sest.

111 tok/s–
Mistral Small 4 119B

Mistral AI

UD-Q2_K_XLoffload38.8 GB–

18tok/sest.

322 tok/schat
Qwen 3.6 35B-A3B

Alibaba Qwen

MXFP4offload21.6 GB–

34tok/sest.

1036 tok/schat, coding
Qwen 3.5 27B

Alibaba Qwen

Q4_K_Moffload17.4 GB–

10tok/sest.

137 tok/s–
Gemma 4 26B-A4B

Google

MXFP4offload16.9 GB–

36tok/sest.

906 tok/schat, coding
Qwen 3.5 35B-A3B

Alibaba Qwen

Q4_K_Moffload21.9 GB–

33tok/sest.

1029 tok/schat, coding
GLM 4.7 Flash

Z.ai

Q4_K_Moffload18.6 GB–

25tok/sest.

629 tok/schat
Devstral Small 2 24B

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

164 tok/s–
Nemotron 3.5 Lightning 30B-A3B

NVIDIA

MXFP4offload22.9 GB–

28tok/sest.

1048 tok/schat, coding, long documents
Qwen3 Coder 30B-A3B

Alibaba Qwen

Q4_K_Moffload19.2 GB–

32tok/sest.

800 tok/schat
Kimi Linear 48B-A3B

Moonshot AI

Q4_K_Moffload29.2 GB–

27tok/sest.

850 tok/schat, coding
Qwen3 32B

Alibaba Qwen

Q4_K_Moffload21.6 GB–

5tok/sest.

93 tok/s–
Mistral Small 3.2 24B

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

164 tok/s–
Gemma 3 27B

Google

Q4_K_Moffload17.6 GB–

9tok/sest.

137 tok/s–
DeepSeek R1 Distill Qwen 32B

DeepSeek

Q4_K_Moffload21.6 GB–

5tok/sest.

97 tok/s–
LFM2.5 24B A2B

Liquid AI

Q4_K_Moffload16.1 GB–

63tok/sest.

1533 tok/schat, coding
Devstral Small 2507

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

166 tok/s–
Magistral Small 2506

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

166 tok/s–
Magistral Small 2507

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

166 tok/s–
Magistral Small 2509

Mistral AI

Q4_K_Moffload15.7 GB2k3k with q8 cache

14tok/sest.

164 tok/s–
Muse Glimmer 30B

meta-models

Q4_K_Moffload17.4 GB–

10tok/sest.

126 tok/s–
granite 4.2 30b

IBM

Q4_K_Moffload19.9 GB–

6tok/sest.

115 tok/s–
Qwen3.8 27B OBLITERATED

OBLITERATUS

mlx-4bitoffload21.0 GB–

6tok/sest.

123 tok/s–
DeepSeek V4 Flash

DeepSeek

UD-Q2_K_XLwon't run92.0 GB––––
GLM 5.3 Flash

Z.ai

UD-Q2_K_XLwon't run102.6 GB––––
Qwen 3.8 Flash Next

Alibaba Qwen

UD-Q2_K_XLwon't run74.9 GB––––
MiniMax M2.7

MiniMax

UD-Q2_K_XLwon't run73.2 GB––––
Nemotron 3 Super 120B-A12B

NVIDIA

UD-Q2_K_XLwon't run52.3 GB––––
Qwen3 Coder Next

Alibaba Qwen

Q4_K_Mwon't run46.6 GB––––
gpt-oss 120B

OpenAI

Q4_K_Mwon't run59.9 GB––––
GLM 4.5 Air

Z.ai

Q2_Kwon't run44.8 GB––––
Qwen3 Next 80B-A3B

Alibaba Qwen

Q4_K_Mwon't run46.6 GB––––
Llama 3.3 70B

Meta

Q4_K_Mwon't run43.2 GB––––
DeepSeek R1

DeepSeek

Q4_K_Mwon't run378.3 GB––––
DeepSeek R1 0528

DeepSeek

Q4_K_Mwon't run378.8 GB––––
DeepSeek R1 Distill Llama 70B

DeepSeek

Q4_K_Mwon't run43.2 GB––––
DeepSeek R1 Zero

DeepSeek

Q4_K_Mwon't run378.3 GB––––
DeepSeek V3

DeepSeek

Q4_K_Mwon't run378.3 GB––––
DeepSeek V3 0324

DeepSeek

Q4_K_Mwon't run378.3 GB––––
DeepSeek V3.1

DeepSeek

Q4_K_Mwon't run379.2 GB––––
DeepSeek V3.1 Terminus

DeepSeek

Q4_K_Mwon't run379.2 GB––––
DeepSeek V3.2

DeepSeek

Q4_K_Mwon't run379.2 GB––––
DeepSeek V4 Flash 0731

DeepSeek

MXFP4won't run147.5 GB––––
DeepSeek V4 Flash Vision Exp

DeepSeek

MXFP4won't run156.2 GB––––
Devstral 2 123B Instruct 2512

Mistral AI

Q4_K_Mwon't run73.7 GB––––
GLM 4.5

Z.ai

Q4_K_Mwon't run205.6 GB––––
GLM 4.5V

Z.ai

Q4_K_Mwon't run61.8 GB––––
GLM 4.6

Z.ai

Q4_K_Mwon't run204.8 GB––––
GLM 4.6V

Z.ai

Q4_K_Mwon't run68.2 GB––––
GLM 4.7

Z.ai

Q4_K_Mwon't run205.6 GB––––
GLM 5

Z.ai

MXFP4won't run384.2 GB––––
GLM 5.1

Z.ai

MXFP4won't run421.8 GB––––
GLM 5.2

Z.ai

UD-Q4_K_Mwon't run435.7 GB––––
GLM 5.3

Z.ai

Q8_0won't run748.2 GB––––
Kimi Dev 72B

Moonshot AI

Q6_Kwon't run63.6 GB––––
Kimi K2

Moonshot AI

Q4_K_Mwon't run579.8 GB––––
Kimi K2 Instruct 0905

Moonshot AI

Q4_K_Mwon't run580.3 GB––––
Kimi K2 Thinking

Moonshot AI

Q4_K_Mwon't run580.3 GB––––
Kimi K2.5

Moonshot AI

Q4_K_Mwon't run580.3 GB––––
MiniMax M2

MiniMax

Q4_K_Mwon't run131.9 GB––––
MiniMax M2.1

MiniMax

Q4_K_Mwon't run131.9 GB––––
MiniMax M2.5

MiniMax

MXFP4won't run118.4 GB––––
MiniMax M3

MiniMax

MXFP4won't run241.8 GB––––
Mistral Medium 3.5 128B

Mistral AI

Q4_K_Mwon't run73.7 GB––––

Specifications

From the manufacturer's published specifications; sources are linked where we have them.

GPU
GeForce RTX 5060
Memory
8 GB GDDR7
Memory bus
128-bit
Memory bandwidth
448 GB/s
FP16 compute
19.177 TFLOPS
Software
CUDA
Board power
145 W
PCIe generation
Gen 5
PCIe lanes
x8

Compare with

Questions

How much memory does the NVIDIA GeForce RTX 5060 have for AI models?
The NVIDIA GeForce RTX 5060 has 8 GB of GDDR7 memory with 448 GB/s of bandwidth, which sets how fast it generates text.
What is the best model the NVIDIA GeForce RTX 5060 can run locally?
gpt-oss 20B (MXFP4) fits fully in its memory at 8k context and generates at about 63 tok/s, an estimate from its memory bandwidth. 38 of the 129 models we track fit at that context.
Can the NVIDIA GeForce RTX 5060 run DeepSeek V4 Flash?
No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 92 GB at 8k context, more than the NVIDIA GeForce RTX 5060 and system RAM can hold.
How much does the NVIDIA GeForce RTX 5060 cost in Germany?
The best new price for the NVIDIA GeForce RTX 5060 in Germany is 449 € at eBay; used, it starts at 414 € (asking price).

Speeds on this page are for 8k context. See the best hardware for local AI at every budget.

More hardware for local AI