llmrun

NVIDIA · Turing

Best AI Models for NVIDIA GeForce RTX 2060 (6 GB)

Runs only small models well; 7–9B only just fits.

6 GB GDDR6336 GB/s26 TFLOPS FP16160 WTuring 2019
Buyabout $349

Turing 6 GB: has Tensor Cores and flash-attention (cc 7.5), but 6 GB holds only ~7B models at Q4 with short context.

What LLMs can the RTX 2060 run?

#ModelSpeedllmrun ScoreQuant · VRAM
1
Qwen3.5 4BAlibabaHow to run →
Q4_K_M · 3.4 GB · 67.0 t/s
67.0 tok/sQ4_K_M · 3.4 GB
2
Gemma 3 4B ITGoogle
Q4_K_M · 5.0 GB · 76.9 t/s
76.9 tok/sQ4_K_M · 5.0 GB
3
Gemma 4 E2B ITGoogle
Q4_K_M · 3.5 GB · 63.7 t/s
63.7 tok/sQ4_K_M · 3.5 GB
4
Spark X2.6 4BXHToken
Q4_K_M · 4.3 GB · 73.8 t/s
73.8 tok/sQ4_K_M · 4.3 GB
5
MiniCPM5 2BOpenBMB
Q4_K_M · 2.5 GB · 115 t/s
115 tok/sQ4_K_M · 2.5 GB
See all 193 models on the RTX 2060 →Best quant that fits · speeds estimated on this card

About the RTX 2060

The RTX 2060 is the quickest card in the 6 GB class: it runs only small models well. It is power-hungry for its speed, and the best speed per dollar of the cards compared at ≈$158 used. Turing generation, released 2019.

Speed in 6 GB#1336 GB/s
Per watt#40.25 tok/s per W on Qwen3.5 9B (9B params)
Per dollar#125.1 tok/s per $100 on Qwen3.5 9B (9B params)
GenerationTuringreleased 2019

RTX 2060 strengths and weaknesses

Strengths

  • Runs 7–9B models: Qwen3.5 9B at 39.6 tok/s in 5.8 GB

Weaknesses

  • 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 6 GB here
  • Little room for context: Qwen3.5 9B uses 5.8 of 6 GB, 0.2 GB left
  • No FP8 or NVFP4: Turing predates both; use GGUF, AWQ or GPTQ builds

Speed per dollar and per watt

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 RTX 2060 has no new price, so the New view shows it at its MSRP.

CardNew pricetok/stok/s per $100tok/s per 100 W
RTX 20606 GB
about $34939.6
11.3
24.8
RTX 50608 GBBest new value
about $46045.8
10.0
31.6
RTX 507012 GB
about $84068.7
8.2
27.5
RX 907016 GB
about $80060.4
7.6
27.5
RTX 40608 GB
about $52027.8
5.3
24.2
CardUsed pricetok/stok/s per $100tok/s per 100 W
RTX 20606 GB
about $15839.6
25.1
24.8
RTX 3060 12GB12 GB
about $32936.8
11.2
21.6
RTX 50608 GBBest used value
about $43045.8
10.7
31.6
RX 907016 GB
about $65060.4
9.3
27.5
RTX 407012 GB
about $57551.5
9.0
25.8
RTX 40608 GB
about $33527.8
8.3
24.2
RTX 4070 SUPER12 GB
about $67551.5
7.6
23.4
RTX 4060 Ti 8GB8 GB
about $40029.4
7.4
18.4

Cost per token: the RTX 2060 against 6–16 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.

6 GB12 GB16 GBthis cardat MSRP
$0.00$0.50$1.00$1.50$0$1,000$ per 1M output tokens · lower is betterused price →RX 9070 · 16 GB · ≈$650 · $0.83 per 1M tokensRTX 4060 Ti 8GB · 8 GB · ≈$400 · $1.09 per 1M tokensRTX 5060 · 8 GB · ≈$430 · $0.73 per 1M tokensRTX 5070 · 12 GB · ≈$736 · $0.83 per 1M tokensRTX 4070 SUPER · 12 GB · ≈$675 · $1.01 per 1M tokensRTX 4070 Ti · 12 GB · ≈$722 · $1.12 per 1M tokensRTX 4060 · 8 GB · ≈$335 · $0.94 per 1M tokensRTX 4070 · 12 GB · ≈$575 · $0.87 per 1M tokensRTX 3060 12GB · 12 GB · ≈$329 · $0.76 per 1M tokensRTX 2060 · 6 GB · ≈$158 · $0.42 per 1M tokensRTX 2060RTX 5060RTX 5070RX 9070RTX 4070 SUPERRTX 4070 TiRTX 4070
$0.00$0.50$1.00$1.50$0$1k$ per 1M output tokens · lower is betterused price →RX 9070 · 16 GB · ≈$650 · $0.83 per 1M tokensRTX 4060 Ti 8GB · 8 GB · ≈$400 · $1.09 per 1M tokensRTX 5060 · 8 GB · ≈$430 · $0.73 per 1M tokensRTX 5070 · 12 GB · ≈$736 · $0.83 per 1M tokensRTX 4070 SUPER · 12 GB · ≈$675 · $1.01 per 1M tokensRTX 4070 Ti · 12 GB · ≈$722 · $1.12 per 1M tokensRTX 4060 · 8 GB · ≈$335 · $0.94 per 1M tokensRTX 4070 · 12 GB · ≈$575 · $0.87 per 1M tokensRTX 3060 12GB · 12 GB · ≈$329 · $0.76 per 1M tokensRTX 2060 · 6 GB · ≈$158 · $0.42 per 1M tokensRTX 2060RTX 5060RTX 5070
Cost per 1M output tokenson Qwen3.5 9B · card over 3 years + power
$0.42
Card, used price
$0.25
Power
$0.17
3-year cost of ownership$263
Or rent an RTX 3080 Ti in the cloud$0.13/hr

Renting costs as much as buying after ≈1,200 hours (≈0.8 years at 4 h a day).

Include card price

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 2060, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

2 GB more and 16% fasterRTX 5060NVIDIA · 8 GB · Blackwell
▲ 16% speed▲ 2 GBabout $460
10 GB more and 53% fasterRX 9070AMD · 16 GB · RDNA 4
▲ 53% speed▲ 10 GBabout $800
2 GB more, but slowerRTX 4060 Ti 8GBNVIDIA · 8 GB · Ada Lovelace
▼ 26% speed▲ 2 GBabout $399rent $0.15/hr
2 GB more for bigger modelsA750Intel · 8 GB · Alchemist
same speed▲ 2 GBabout $289
2 GB more for bigger modelsA580Intel · 8 GB · Alchemist
same speed▲ 2 GBabout $179
2 GB more for bigger modelsRTX 4060NVIDIA · 8 GB · Ada Lovelace
▼ 30% speed▲ 2 GBabout $520rent $0.08/hr

RTX 2060 tokens per second by model size

Output speed depends on memory bandwidth (336 GB/s). Grey rows need more than 6 GB.

  1. 9BQwen3.5 9B · Q3_K_L · 5.8 GB tight · Q3_K_L
    39.6tok/s
  2. 14BQwen3 14B · not at 4-bit
    needs 11.9 GB
  3. 27–31BQwen3.8 27B · not at 4-bit
    needs 17.9 GB
  4. 35B MoEQwen3.6 35B A3B · not at 4-bit
    needs 22.0 GB
  5. 70BLlama 3.3 70B Instruct · not at 4-bit
    needs 51.3 GB
  6. 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 738 models on the RTX 2060

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 2060 — ranked by Score, recency and Fit
ModelVRAMScoreFit
MiniCPM5 2B DSpark
Q4_K_M·436.8 t/s
0.6 GBS100, Runs great
Nl2sh 1.5B Q4 K M
Q4_K_M·220.6 t/s
2.6 GBS100, Runs great
LocateAnything 3B
Q4_K_M·81.8 t/s
3.2 GBS88, Runs great
Intern Decision 4B
Q4_K_M·68.5 t/s
3.4 GBS85, Runs great
MiMo V2.6 Distill Qwen 9B
IQ4_XS·38.8 t/s
5.9 GBC44, Usable
Intern Decision 2B
Q4_K_M·126.2 t/s
1.8 GBS95, Runs great
TwIL LM3
Q4_K_M·95.0 t/s
3.4 GBS90, Runs great
Kimi K3 DSpark
Q4_K_M·127.0 t/s
2.2 GBS95, Runs great
NVIDIA Nemotron 3.5 Bolt E4B BF16
Q4_K_M·41.1 t/s
5.6 GBB56, Decent
Qwen3.8 27B DSpark
Q4_K_M·149.6 t/s
1.8 GBS97, Runs great
NVIDIA Nemotron 3.5 Bolt E4B 4GB
Q4_K_M·82.7 t/s
4.8 GBS88, Runs great
Sevclassifier Jev Style 1.5B
Q4_K_M·170.6 t/s
1.7 GBS98, Runs great
Inkling Small DSpark Preview
Q4_K_M·185.1 t/s
1.5 GBS99, Runs great
Supra2 100M Instruct
Q4_K_M·560.0 t/s
0.4 GBS100, Runs great
Ornith 1.0 9B
IQ4_XS·38.8 t/s
5.9 GBC44, Usable

RTX 2060 specs, power and PSU

Specs

Architecture
Turing
VRAM
6 GB GDDR6
Memory bandwidth
336.0 GB/s
FP16 (dense)
25.80 TFLOPS
CUDA cores
1,920
Tensor cores
240
Compute capability
7.5
TDP
160 W
Released
2019-01-15
MSRP
$349

RTX 2060 FAQ

Is the RTX 2060 still worth it in 2026?

At ≈$158 used you get 25.1 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 8 cards compared here; it is also the fastest out of 6 cards with 6 GB. It runs only small models well; 7–9B only just fits.

What is the largest model the RTX 2060 can run?

Qwen2.5 7B Instruct (7.6B) is the largest at 4-bit or better: at Q4_K_M it uses 5.8 GB of 6 GB, and runs at about 43.8 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.

Can the RTX 2060 run Qwen3.5 4B?

Yes. Qwen3.5 4B fits at Q4_K_M, using 3.4 GB of 6 GB, and it is the best model that runs well on this card.

Can the RTX 2060 run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 6 GB on this card.

How many tokens per second does the RTX 2060 give?

About 67.0 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 3.3 s on a 4K-token prompt.

What power supply does the RTX 2060 need?

Plan a 350 W PSU (2× the 160 W TDP).

Is renting cheaper than buying an RTX 2060?

An RTX 3080 Ti (12 GB) rents from $0.13/hr. Renting costs as much as buying after ≈1,200 hours (≈0.8 years at 4 h a day).

Related

Best coding LLMs8 GB VRAMGPUs with 6 GB or moreRTX 3080 TiRTX 3080 12GBRTX 3080