NVIDIA · Blackwell · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5050 (8 GB)

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

8 GB GDDR6320 GB/s26 TFLOPS FP16130 WBlackwell 2025

Blackwell 8 GB at 320 GB/s (GDDR6, not GDDR7): ~7-8B at Q4; mid-tier decode speed with modern FP16 kernels.

What LLMs can the RTX 5050 run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 32.7 t/s	32.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 63.8 t/s	63.8 tok/s	Q4_K_M · 3.4 GB
3	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 34.1 t/s	34.1 tok/s	Q4_K_M · 7.3 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 73.2 t/s	73.2 tok/s	Q4_K_M · 5.0 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 172 t/s	172 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 · 32.7 t/s	32.7 tok/s		Q4_K_M · 6.6 GB
2	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 73.2 t/s	73.2 tok/s		Q4_K_M · 5.0 GB
3	Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 41.7 t/s	41.7 tok/s		Q4_K_M · 5.8 GB
4	Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 34.1 t/s	34.1 tok/s	overall	Q4_K_M · 7.3 GB
5	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 172 t/s	172 tok/s		Q4_K_M · 5.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 63.8 t/s	63.8 tok/s	Q4_K_M · 3.4 GB
2	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 32.7 t/s	32.7 tok/s	Q4_K_M · 6.6 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 39.1 t/s	39.1 tok/s	Q4_K_M · 5.6 GB
4	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 172 t/s	172 tok/s	Q4_K_M · 5.5 GB
5	Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 70.3 t/s	70.3 tok/s	Q4_K_M · 4.3 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 63.8 t/s	63.8 tok/s	Q4_K_M · 3.4 GB
2	Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 172 t/s	172 tok/s	Q4_K_M · 5.5 GB
3	Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 39.1 t/s	39.1 tok/s	Q4_K_M · 5.6 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 33.5 t/s	33.5 tok/s	Q4_K_M · 6.5 GB
5	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 32.7 t/s	32.7 tok/s	Q4_K_M · 6.6 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 32.7 t/s	32.7 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 63.8 t/s	63.8 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 73.2 t/s	73.2 tok/s	Q4_K_M · 5.0 GB
4	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 33.5 t/s	33.5 tok/s	Q4_K_M · 6.5 GB
5	LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 122 t/s	122 tok/s	Q4_K_M · 2.4 GB

See all 218 models on the RTX 5050 →Best quant that fits · speeds estimated on this card

About the RTX 5050

The RTX 5050 is an entry card in the 8 GB class: it runs 7–9B models well. It is more efficient per watt than most 8 GB cards, and pricier per token than most of the cards compared at ≈$410. Blackwell generation, released 2025.

Speed in 8 GB#11320 GB/s

Per watt#60.25 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#38.0 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationBlackwellreleased 2025

RTX 5050 strengths and weaknesses

Strengths

Runs 7–9B models: Qwen3.5 9B at 32.7 tok/s in 6.6 GB
Low power draw: 130 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
Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 6.7 s for the first token
Priced well above MSRP: ≈$410 new vs its $249 MSRP (+65%)

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 50508 GB	about $410	32.7	8.0	25.2
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 3060 12GB12 GB	about $329	36.8	11.2	21.6
RTX 50608 GBBest used value	about $430	45.8	10.7	31.6
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 4070 SUPER12 GB	about $675	51.5	7.6	23.4
RTX 4060 Ti 8GB8 GB	about $400	29.4	7.4	18.4
RTX 4070 Ti12 GB	about $722	51.5	7.1	18.1

Cost per token: the RTX 5050 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

$0.96

Card, new price: $0.80
Power: $0.17

3-year cost of ownership$495

Or rent an RTX 3090 in the cloud$0.18/hr

Renting costs as much as buying after ≈2,200 hours (≈1.5 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 5050, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

4 GB more and 13% fasterRTX 3060 12GBNVIDIA · 12 GB · Ampere

▲ 13% speed▲ 4 GB$329rent $0.06/hr

40% faster for $50 moreRTX 5060NVIDIA · 8 GB · Blackwell

▲ 40% speed▲ $50 moresame 8 GB$460

10% slower, same 8 GBRTX 4060 Ti 8GBNVIDIA · 8 GB · Ada Lovelace

▼ 10% speedsame 8 GB$399rent $0.19/hr

4 GB more and 25% fasterRX 9070 GREAMD · 12 GB · RDNA 4

▲ 25% speed▲ 4 GB$549

23% faster, same 8 GBA580Intel · 8 GB · Alchemist

▲ 23% speedsame 8 GB$179

8 GB more and 2.2× the speedRTX 4080NVIDIA · 16 GB · Ada Lovelace

▲ 124% speed▲ 8 GB$1,199rent $0.25/hr

RTX 5050 tokens per second by model size

Output speed depends on memory bandwidth (320 GB/s). Grey rows need more than 8 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
32.7tok/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 842 models on the RTX 5050

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 5050 — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Qwen3.5 9B DFlash1.3BChat Q4_K_M·184.1 t/s	Q4_K_M	1.5 GB19%	184.1 t/s	262K	S99, Runs great
Deeplm 108M108MChat BF16·866.7 t/s	BF16	1.0 GB13%	866.7 t/s	—	S100, Runs great
DeepSeek OCR3.3BVision Q4_K_M·214.8 t/s	Q4_K_M	2.8 GB35%	214.8 t/s	8K	S100, Runs great
Kimi K2.6 Eagle3 Mla3.0BChat Q4_K_M·95.9 t/s	Q4_K_M	2.6 GB32%	95.9 t/s	262K	S90, Runs great
Tiny Glm4MoeForCausalLM2MChatFunctions Q4_K_M·693.3 t/s	Q4_K_M	0.6 GB7%	693.3 t/s	131K	S100, Runs great
VibeThinker 3B3.1BChatMathCodeReasoning Q4_K_M·93.3 t/s	Q4_K_M	2.8 GB35%	93.3 t/s	131K	S90, Runs great
Gemma 4 E4B IT Assistant4BChat Q4_K_M·77.0 t/s	Q4_K_M	2.7 GB34%	77.0 t/s	131K	S87, Runs great
Mellum2.1 12B A2.5B Thinking12.1BChatFunctions Q4_K_M·111.9 t/s	Q4_K_M	7.8 GB97%	111.9 t/s	131K	B62, Decent
Qwen3.5 4B PTBR4BChat Q4_K_M·78.8 t/s	Q4_K_M	4.8 GB59%	78.8 t/s	—	S87, Runs great
Sweep Next Edit 1.5B1.4BChatCode Q4_K_M·174.8 t/s	Q4_K_M	1.6 GB20%	174.8 t/s	33K	S98, Runs great
Huihui MiniCPM5 1B Abliterated1.1BChat Q4_K_M·210.1 t/s	Q4_K_M	1.3 GB16%	210.1 t/s	131K	S100, Runs great
Qwen3.6 27B MTPLX Optimized Speed4.7BChat Q4_K_M·58.6 t/s	Q4_K_M	4 GB50%	58.6 t/s	262K	A83, Runs well
Tiny Cohere2ForCausalLM2MChat Q4_K_M·693.3 t/s	Q4_K_M	0.4 GB5%	693.3 t/s	8K	S100, Runs great
Tiny Random Qwen32MChatFunctions Q4_K_M·693.3 t/s	Q4_K_M	0.3 GB4%	693.3 t/s	33K	S100, Runs great
Dolphin X1 Trinity Nano6.1BChat Q4_K_M·157.0 t/s	Q4_K_M	4.9 GB61%	157.0 t/s	131K	S97, Runs great

RTX 5050 specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 8 GB GDDR6
Memory bandwidth: 320.0 GB/s
FP16 (dense): 26.34 TFLOPS
CUDA cores: 2,560
Tensor cores: 80
Compute capability: 12.0
TDP: 130 W
Released: 2025-07-01
MSRP: $249

RTX 5050 FAQ

Is the RTX 5050 still worth it in 2026?

At ≈$410 you get 8.0 tok/s per $100 on Qwen3.5 9B, which ranks 3rd of the 4 cards compared here; it is also the 11th fastest out of 19 cards with 8 GB. It runs 7–9B models well; 14B doesn't fit in 8 GB.

What is the largest model the RTX 5050 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 32.7 tok/s.

Can the RTX 5050 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 5050 give?

About 32.7 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 6.7 s on a 4K-token prompt.

What power supply does the RTX 5050 need?

Plan a 300 W PSU (2× the 130 W TDP).

Is renting cheaper than buying an RTX 5050?

An RTX 3090 (24 GB) rents from $0.18/hr. Renting costs as much as buying after ≈2,200 hours (≈1.5 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