NVIDIA · Blackwell · 16 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5070 Ti (16 GB)

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

16 GB GDDR7896 GB/s88 TFLOPS FP16300 WBlackwell 2025

What LLMs can the RTX 5070 Ti run?

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 179 t/s	179 tok/s	Q4_K_M · 3.4 GB
3	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 173 t/s	173 tok/s	Q4_K_M · 13.1 GB
4	Phi 4Microsoft Q4_K_M · 12.5 GB · 61.2 t/s	61.2 tok/s	Q4_K_M · 12.5 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 70.8 t/s	70.8 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 · 173 t/s	173 tok/s		Q4_K_M · 13.1 GB
2	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 110 t/s	110 tok/s		Q4_K_M · 7.9 GB
3	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	overall	Q4_K_M · 6.6 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 70.8 t/s	70.8 tok/s		Q4_K_M · 9.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 93.8 t/s	93.8 tok/s		Q4_K_M · 6.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	Q4_K_M · 6.6 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 173 t/s	173 tok/s	Q4_K_M · 13.1 GB
3	Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 106 t/s	106 tok/s	Q4_K_M · 7.6 GB
4	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 110 t/s	110 tok/s	Q4_K_M · 7.9 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 70.8 t/s	70.8 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 179 t/s	179 tok/s	Q4_K_M · 3.4 GB
3	Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 72.2 t/s	72.2 tok/s	Q4_K_M · 11.0 GB
4	Llama 3.1 8B InstructMeta Q4_K_M · 7.9 GB · 110 t/s	110 tok/s	Q4_K_M · 7.9 GB
5	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 70.8 t/s	70.8 tok/s	Q4_K_M · 9.0 GB

#	Model	Speed ↓	Quant · VRAM
1	Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 179 t/s	179 tok/s	Q4_K_M · 3.4 GB
2	GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 173 t/s	173 tok/s	Q4_K_M · 13.1 GB
3	Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	Q4_K_M · 6.6 GB
4	Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 70.8 t/s	70.8 tok/s	Q4_K_M · 9.0 GB
5	Phi 4Microsoft Q4_K_M · 12.5 GB · 61.2 t/s	61.2 tok/s	Q4_K_M · 12.5 GB

#	Model	Speed	Quant · VRAM
1	Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 91.6 t/s	91.6 tok/s	Q4_K_M · 6.6 GB
2	Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 179 t/s	179 tok/s	Q4_K_M · 3.4 GB
3	Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 72.4 t/s	72.4 tok/s	Q4_K_M · 10.9 GB
4	Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 205 t/s	205 tok/s	Q4_K_M · 5.0 GB
5	MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M · 6.5 GB · 93.8 t/s	93.8 tok/s	Q4_K_M · 6.5 GB

See all 307 models on the RTX 5070 Ti →Best quant that fits · speeds estimated on this card

About the RTX 5070 Ti

The RTX 5070 Ti is one of the fastest 16 GB cards: it runs 14B models well. It is the most efficient per watt in its tier, and fair value at ≈$1,170. Blackwell generation, released 2025.

Speed in 16 GB#2896 GB/s

Per watt#10.31 tok/s per W on Qwen3.5 9B (9B params)

Per dollar#37.8 tok/s per $100 on Qwen3.5 9B (9B params)

GenerationBlackwellreleased 2025

RTX 5070 Ti strengths and weaknesses

Strengths

Runs 35B MoE models: Qwen3.6 35B A3B at 174 tok/s in 15.7 GB
Reads long prompts fast: A 4K-token prompt on Qwen3.5 9B starts answering in 2.0 s

Weaknesses

70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 16 GB here
Priced well above MSRP: ≈$1,170 new vs its $749 MSRP (+56%)

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 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
RTX 509032 GB	about $5,376	183	3.4	31.8

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 7900 XTX24 GB	about $1,000	90.6	9.1	25.5
RTX 5070 Ti16 GB	about $1,100	91.6	8.3	30.5
RTX 3090 Ti24 GB	about $1,600	103	6.4	22.9
RTX 309024 GB	about $1,500	95.7	6.4	27.3
RX 9060 XT 16GB16 GB	about $480	30.2	6.3	18.9
RTX 508016 GB	about $1,640	98.1	6.0	27.3
RTX 509032 GB	about $6,400	183	2.9	31.8

Cost per token: the RTX 5070 Ti against 12–32 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.

12 GB16 GB24 GB32 GBthis card

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

$0.95

Card, new price: $0.81
Power: $0.14

3-year cost of ownership$1,367

Or rent in the cloud$0.17/hr

Renting costs as much as buying after ≈6,700 hours (≈4.6 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 5070 Ti, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

8 GB more and 12% fasterRTX 3090 TiNVIDIA · 24 GB · Ampere

▲ 12% speed▲ 8 GB$1,999rent $0.27/hr

16 GB more, 100% faster for $4,206 moreRTX 5090NVIDIA · 32 GB · Blackwell

▲ 100% speed▲ $4,206 more▲ 16 GB$5,376rent $0.50/hr

Slower but $580 cheaperRX 9060 XT 16GBAMD · 16 GB · RDNA 4

▼ 67% speed▼ $580 lesssame 16 GB$590

8 GB more, about as fastRX 7900 XTXAMD · 24 GB · RDNA 3

same speed▲ 8 GB$1,130

60% slower, 12 GBRTX 3060 12GBNVIDIA · 12 GB · Ampere

▼ 60% speed▼ 4 GB$329rent $0.06/hr

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

same speed▲ 8 GB

RTX 5070 Ti tokens per second by model size

Output speed depends on memory bandwidth (896 GB/s). Grey rows need more than 16 GB.

9BQwen3.5 9B · Q4_K_M · 6.6 GB
91.6tok/s
14BQwen3 14B · Q4_K_M · 11.9 GB
61.3tok/s
27–31BQwen3.8 27B · Q3_K_L · 15.4 GB tight · Q3_K_L
38.9tok/s
35B MoEQwen3.6 35B A3B · IQ3_S · 15.7 GB tight · IQ3_S
174tok/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 RTX 5070 Ti

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 5070 Ti — ranked by Score, recency and Fit
Model	Quant	VRAM	Speed	Context	Fit
Qwen3.5 9B9.7BVisionFunctions Q4_K_M·91.6 t/s	Q4_K_M	6.6 GB41%	91.6 t/s	262K	S90, Runs great
Qwen3.8 27B27.8BVisionFunctions Q3_K_L·38.9 t/s	Q3_K_L	15.4 GB97%	38.9 t/s	262K	B48, Decent
Gemma 4 12B IT12.0BChatFunctions Q4_K_M·70.8 t/s	Q4_K_M	9.0 GB56%	70.8 t/s	262K	S86, Runs great
Gemma 4 26B A4B IT25.8BVisionFunctions Q4_K_S·164.4 t/s	Q4_K_S	15.5 GB97%	164.4 t/s	262K	B62, Decent
GPT OSS 20B20.9BChatFunctions Q4_K_M·173.4 t/s	Q4_K_M	13.1 GB82%	173.4 t/s	131K	S96, Runs great
Muse Glimmer 30B29.8BVision IQ3_M·42.0 t/s	IQ3_M	15.1 GB95%	42.0 t/s	131K	B53, Decent
MiMo V2.6 Distill Qwen 9B9.4BVisionCodeFunctions Q4_K_M·93.8 t/s	Q4_K_M	6.5 GB41%	93.8 t/s	262K	S90, Runs great
Ling 3.0 Tiny7.9BChatFunctions Q4_K_M·341.9 t/s	Q4_K_M	5.5 GB34%	341.9 t/s	131K	S100, Runs great
Qwen3.5 4B4.7BVisionFunctions Q4_K_M·178.7 t/s	Q4_K_M	3.4 GB21%	178.7 t/s	262K	S99, Runs great
Spark X2.6 4B4.1BChatFunctions Q4_K_M·196.8 t/s	Q4_K_M	4.3 GB27%	196.8 t/s	1049K	S100, Runs great
MiniCPM5 2B2.5BChatFunctions Q4_K_M·306.5 t/s	Q4_K_M	2.5 GB16%	306.5 t/s	131K	S100, Runs great
Ornith 1.5 9B9.7BChatFunctions Q4_K_M·91.6 t/s	Q4_K_M	6.6 GB41%	91.6 t/s	262K	S90, Runs great
NVIDIA Nemotron 3.5 Bolt E4B BF168.0BChatFunctions Q4_K_M·109.5 t/s	Q4_K_M	5.6 GB35%	109.5 t/s	66K	S93, Runs great
LFM2.5 24B A2B24.0BChatFunctions Q4_K_M·207.9 t/s	Q4_K_M	15.0 GB94%	207.9 t/s	131K	B62, Decent
ZAYA1 VL 8B9.7BVision Q4_K_M·335.7 t/s	Q4_K_M	7.5 GB47%	335.7 t/s	33K	S100, Runs great

RTX 5070 Ti specs, power and PSU

Specs

Architecture: Blackwell
VRAM: 16 GB GDDR7
Memory bandwidth: 896.0 GB/s
FP16 (dense): 87.90 TFLOPS
CUDA cores: 8,960
Tensor cores: 280
Compute capability: 10.0
TDP: 300 W
Released: 2025-02-20
MSRP: $749

RTX 5070 Ti FAQ

Is the RTX 5070 Ti still worth it in 2026?

At ≈$1,170 you get 7.8 tok/s per $100 on Qwen3.5 9B, which ranks 3rd of the 8 cards compared here; it is also the 2nd fastest out of 17 cards with 16 GB. It runs 14B models well; 27–31B only just fits.

What is the largest model the RTX 5070 Ti 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 164 tok/s. At 3-bit, a bigger model fits too: Gemma 2 27B IT (27.2B) at IQ3_M, 15.0 GB.

Can the RTX 5070 Ti 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 RTX 5070 Ti 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 RTX 5070 Ti give?

About 91.6 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 2.0 s on a 4K-token prompt.

What power supply does the RTX 5070 Ti need?

Plan a 600 W PSU (2× the 300 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 173 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.

Is renting cheaper than buying an RTX 5070 Ti?

Rent from $0.17/hr. Renting costs as much as buying after ≈6,700 hours (≈4.6 years at 4 h a day).

Best coding LLMs 16 GB VRAM 24 GB VRAM GPUs with 16 GB or more RTX 4090 RTX 3090