llmrun

Qwen3 14B vs Qwen3 32B

Qwen3 14B and Qwen3 32B match in llmrun Score, with values of 97.9 versus 98.4; both fit 24 GB at Q4_K_M; Qwen3 14B is 2.2× faster on RTX 4090 (~69 vs ~32 tok/s).

Model A · Alibaba

Qwen3 14B
97.9llmrun Score

14.8B · 40K context · Apache 2.0 · Apr 2025

ChatFunctions

Model B · Alibaba

Qwen3 32B
98.4llmrun Score

32.8B · 40K context · Apache 2.0 · Apr 2025

ChatFunctions

Which should you choose?

Choose Qwen3 14B if you want…

  • Fits a 12 GB GPU

    Q4_K_M · 11.9 GB; Qwen3 32B needs 12 GB at its smallest quant

  • 2.2× faster on RTX 4090

    ~69 vs ~32 tok/s

  • Lighter on memory

    9.5 vs 20.3 GB at Q4_K_M

Choose Qwen3 32B if you want…

  • Ahead on the benchmarks

    6 of 7 shared boards

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

8 GB

RTX 4060 · 8 GB tier

Qwen3 14B

IQ2_M · ~32 tok/s

8 GB · up to 16Kfits

Qwen3 32B

Doesn't fit

smallest quant needs 12 GB

12 GB

RTX 3060 12GB · 12 GB tier

Qwen3 14B

Q4_K_M · ~25 tok/s

11.9 GB · up to 16Kmore headroom

Qwen3 32B

IQ2_XXS · ~24 tok/s

12 GB · up to 16K

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen3 14B

Q4_K_M · ~31 tok/s

11.9 GB · up to 40Kmore headroom

Qwen3 32B

IQ3_XXS · ~22 tok/s

15.7 GB · up to 16K

24 GBreference

RTX 4090 · 24 GB tier

Qwen3 14B

Q4_K_M · ~69 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~32 tok/s

22.6 GB · up to 16K

32 GB

RTX 5090 · 32 GB tier

Qwen3 14B

Q4_K_M · ~123 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~57 tok/s

22.6 GB · up to 40K

48 GB

RTX A6000 · 48 GB tier

Qwen3 14B

Q4_K_M · ~53 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~25 tok/s

22.6 GB · up to 40K

Mac 32 GB

Mac Mini M4 · Macs

Qwen3 14B

Q4_K_M · ~9 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~4 tok/s

22.6 GB · up to 40K

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~19 tok/s

22.6 GB · up to 40K

Mac 128 GB

Mac Studio M4 Max · Macs

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 GB · up to 40Kfaster

Qwen3 32B

Q4_K_M · ~19 tok/s

22.6 GB · up to 40K

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

Overall

Qwen3 14B

97.995–101

Qwen3 32B

98.496–101

Coding

Qwen3 14B

no data

Qwen3 32B

93.187–99

Science

Qwen3 14B

94.187–101

Qwen3 32B

96.089–103

Reasoning

Qwen3 14B

87.879–97

Qwen3 32B

91.083–99

Qwen3 14B · #53 of 92 open models · #12 of 34 that fit 24 GB

Qwen3 32B · #52 of 92 open models · #11 of 34 that fit 24 GB

Benchmarks

7 shared boards: Qwen3 14B leads 1, Qwen3 32B leads 6 · Benchmarks imported Oct 2026

GPQA Diamond

Qwen3 14B

63.8%#39/97 open

IndependentEpoch AI · Apr 2025

Qwen3 32B

65.7%#36/97 open

IndependentEpoch AI · Apr 2025

AIME 2024/2025

Qwen3 14B

66.4%#32/85 open

IndependentEpoch AI · Apr 2025

Qwen3 32B

66.9%#30/85 open

IndependentEpoch AI · Apr 2025

SciCode

Qwen3 14B

31.6%#51/65 open

Lab-reportedEpoch AI · Apr 2025

Qwen3 32B

35.4%#45/65 open

Lab-reportedEpoch AI · Apr 2025

Chess Puzzles

Qwen3 14B

4.0%#34/67 open

IndependentEpoch AI · Apr 2025

Qwen3 32B

5.0%#30/67 open

IndependentEpoch AI · Apr 2025

CritPt

Qwen3 14B

0.0%#61/65 open

Lab-reportedEpoch AI · Apr 2025

Qwen3 32B

0.3%#42/65 open

Lab-reportedEpoch AI · Apr 2025

DTBench

Qwen3 14B

64.0%#39/68 open

Lab-reportedEpoch AI · Apr 2025

Qwen3 32B

67.5%#35/68 open

Lab-reportedEpoch AI · Apr 2025

LMCA

Qwen3 14B

18.2%#35/54 open

Lab-reportedEpoch AI · Apr 2025

Qwen3 32B

17.3%#37/54 open

Lab-reportedEpoch AI · Apr 2025

3 more boards (other shared and single-model boards)
Fiction.LiveBench

Qwen3 14B

62.5%#11/25 open

IndependentEpoch AI · Apr 2025

Qwen3 32B

74.2%#6/25 open

IndependentEpoch AI · Apr 2025

Only Qwen3 32B (2)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

Q2_K

Qwen3 14B

6.9 GB5.8 GB file

32K 11.9 GB · 128K —

Qwen3 32B

14.6 GB12.3 GB file

32K 19.6 GB · 128K —

Q3_K_S

Qwen3 14B

7.1 GB6.7 GB file

32K 12.1 GB · 128K —

Qwen3 32B

15.0 GB14.4 GB file

32K 20.0 GB · 128K —

Q3_K_M

Qwen3 14B

7.8 GB7.3 GB file

32K 12.9 GB · 128K —

Qwen3 32B

16.6 GB16.0 GB file

32K 21.6 GB · 128K —

Q4_0

Qwen3 14B

8.0 GB8.5 GB file

32K 13.1 GB · 128K —

Qwen3 32B

17.0 GB18.7 GB file

32K 22.1 GB · 128K —

Q4_K_M

Qwen3 14B

9.5 GB9.0 GB file

32K 14.5 GB · 128K —

Qwen3 32B

20.3 GB19.8 GB file

32K 25.3 GB · 128K —

Q5_K_M

Qwen3 14B

11.2 GB10.5 GB file

32K 16.2 GB · 128K —

Qwen3 32B

24.0 GB23.2 GB file

32K 29.0 GB · 128K —

Q6_K

Qwen3 14B

12.8 GB12.1 GB file

32K 17.9 GB · 128K —

Qwen3 32B

27.7 GB26.9 GB file

32K 32.7 GB · 128K —

Q8_0

Qwen3 14B

15.4 GB15.7 GB file

32K 20.4 GB · 128K —

Qwen3 32B

33.4 GB34.8 GB file

32K 38.4 GB · 128K —

19 more quants

IQ2_XXS

Qwen3 14B

4.7 GB4.5 GB file

32K 9.7 GB · 128K —

Qwen3 32B

9.7 GB9.3 GB file

32K 14.7 GB · 128K —

IQ2_XS

Qwen3 14B

5.1 GB4.7 GB file

32K 10.1 GB · 128K —

Qwen3 32B

10.5 GB10.0 GB file

32K 15.5 GB · 128K —

IQ2_S

Qwen3 14B

5.3 GB5.0 GB file

32K 10.3 GB · 128K —

Qwen3 32B

10.9 GB10.5 GB file

32K 15.9 GB · 128K —

IQ2_M

Qwen3 14B

5.6 GB5.4 GB file

32K 10.7 GB · 128K —

Qwen3 32B

11.7 GB11.6 GB file

32K 16.7 GB · 128K —

IQ3_XXS

Qwen3 14B

6.4 GB6.0 GB file

32K 11.4 GB · 128K —

Qwen3 32B

13.3 GB13.0 GB file

32K 18.4 GB · 128K —

Q2_K_S

Qwen3 14B

6.5 GB5.4 GB file

32K 11.6 GB · 128K —

Qwen3 32B

not listed

IQ3_XS

Qwen3 14B

6.7 GB6.4 GB file

32K 11.8 GB · 128K —

Qwen3 32B

14.2 GB13.7 GB file

32K 19.2 GB · 128K —

IQ3_S

Qwen3 14B

6.9 GB6.7 GB file

32K 11.9 GB · 128K —

Qwen3 32B

not listed

IQ3_M

Qwen3 14B

7.3 GB6.9 GB file

32K 12.3 GB · 128K —

Qwen3 32B

15.4 GB14.9 GB file

32K 20.4 GB · 128K —

Q3_K_L

Qwen3 14B

8.2 GB7.9 GB file

32K 13.2 GB · 128K —

Qwen3 32B

17.4 GB17.3 GB file

32K 22.5 GB · 128K —

IQ4_XS

Qwen3 14B

8.6 GB8.1 GB file

32K 13.6 GB · 128K —

Qwen3 32B

18.3 GB17.7 GB file

32K 23.3 GB · 128K —

IQ4_NL

Qwen3 14B

8.9 GB8.5 GB file

32K 14.0 GB · 128K —

Qwen3 32B

19.1 GB18.7 GB file

32K 24.1 GB · 128K —

Q4_1

Qwen3 14B

8.9 GB9.4 GB file

32K 14.0 GB · 128K —

Qwen3 32B

19.1 GB20.6 GB file

32K 24.1 GB · 128K —

Q4_K_S

Qwen3 14B

8.9 GB8.6 GB file

32K 14.0 GB · 128K —

Qwen3 32B

19.1 GB18.8 GB file

32K 24.1 GB · 128K —

Q4_K_L

Qwen3 14B

9.7 GB9.6 GB file

32K 14.7 GB · 128K —

Qwen3 32B

20.7 GB20.3 GB file

32K 25.7 GB · 128K —

Q5_0

Qwen3 14B

9.9 GB10.3 GB file

32K 14.9 GB · 128K —

Qwen3 32B

21.1 GB22.6 GB file

32K 26.1 GB · 128K —

Q5_K_S

Qwen3 14B

10.8 GB10.3 GB file

32K 15.8 GB · 128K —

Qwen3 32B

23.2 GB22.6 GB file

32K 28.2 GB · 128K —

Q5_K_L

Qwen3 14B

11.3 GB11.0 GB file

32K 16.4 GB · 128K —

Qwen3 32B

24.4 GB23.7 GB file

32K 29.4 GB · 128K —

BF16

Qwen3 14B

30.2 GB29.5 GB file

32K 35.2 GB · 128K —

Qwen3 32B

66.2 GB65.5 GB file

32K 71.2 GB · 128K —

How to run each

Specifications

Specifications of Qwen3 14B and Qwen3 32B
SpecQwen3 14BQwen3 32B
PublisherAlibabaAlibaba
Parameters14.8B32.8B
ArchitectureQwen3ForCausalLMQwen3ForCausalLM
Context40K tokens40K tokens
ModalitiesChat, Function-callingChat, Function-calling
LicenseApache 2.0Apache 2.0
ReleasedApr 2025Apr 2025

Frequently Asked Questions

Which is better, Qwen3 14B or Qwen3 32B?

Qwen3 14B and Qwen3 32B match in llmrun Score, with values of 97.9 versus 98.4; both fit 24 GB at Q4_K_M; Qwen3 14B is 2.2× faster on RTX 4090 (~69 vs ~32 tok/s). Choose Qwen3 14B for fits a 12 GB GPU and 2.2× faster on RTX 4090; choose Qwen3 32B for ahead on the benchmarks.

Which needs less VRAM, Qwen3 14B or Qwen3 32B?

At Q4_K_M, Qwen3 14B requires 9.5 GB while Qwen3 32B needs 20.3 GB, making Qwen3 14B the easier model to run on your local setup.

Which is faster on RTX 4090?

Estimated decode speed on RTX 4090 is about 69 tok/s for Qwen3 14B (Q4_K_M) and 32 tok/s for Qwen3 32B (Q4_K_M), so Qwen3 14B is faster. Estimates, ±20%.

Can I run Qwen3 14B or Qwen3 32B on a 16 GB GPU?

Qwen3 14B fits at Q4_K_M; Qwen3 32B fits at IQ3_XXS.

Which has a longer context window, Qwen3 14B or Qwen3 32B?

Qwen3 14B supports 40,960 tokens and Qwen3 32B supports 40,960 tokens.

Qwen3 14B vs Qwen3 32B — VRAM & GPU Comparison | llmrun