Qwen3 14B vs Qwen3.5 9B

Qwen3 14B and Qwen3.5 9B match in llmrun Score, with values of 97.9 versus 99.4; both fit 24 GB at Q4_K_M; Qwen3.5 9B is 1.5× faster on RTX 4090 (~103 vs ~69 tok/s).

Model A · Alibaba

Qwen3 14B

97.9llmrun Score

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

ChatFunctions

Model B · Alibaba

Qwen3.5 9B

99.4llmrun Score

9.7B · 256K context · Apache 2.0 · Feb 2026

VisionFunctions

Which should you choose?

Choose Qwen3 14B if you want…

Also does chat
Qwen3.5 9B doesn't list it

Choose Qwen3.5 9B if you want…

Stronger at science
104.2 vs 94.1
Stronger at reasoning
97.1 vs 87.8
Ahead on the benchmarks
5 of 7 shared boards
Fits an 8 GB GPU
Q4_K_M · 6.6 GB; Qwen3 14B needs 7.1 GB at its smallest quant
1.5× faster on RTX 4090
~103 vs ~69 tok/s
Lighter on memory
6.4 vs 9.5 GB at Q4_K_M

On your hardware

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

MemoryQwen3 14BQwen3.5 9B

8 GB

RTX 4060 · 8 GB tier

Qwen3 14B

IQ2_M · ~32 tok/s

8 GB · up to 16K

Qwen3.5 9B

Q4_K_M · ~28 tok/s

6.6 GB · up to 32Kmore headroom

12 GB

RTX 3060 12GB · 12 GB tier

Qwen3 14B

Q4_K_M · ~25 tok/s

11.9 GB · up to 16K

Qwen3.5 9B

Q4_K_M · ~37 tok/s

6.6 GB · up to 128Kfaster

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen3 14B

Q4_K_M · ~31 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~46 tok/s

6.6 GB · up to 256Kfaster

24 GBreference

RTX 4090 · 24 GB tier

Qwen3 14B

Q4_K_M · ~69 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~103 tok/s

6.6 GB · up to 256Kfaster

32 GB

RTX 5090 · 32 GB tier

Qwen3 14B

Q4_K_M · ~123 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~183 tok/s

6.6 GB · up to 256Kfaster

48 GB

RTX A6000 · 48 GB tier

Qwen3 14B

Q4_K_M · ~53 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~79 tok/s

6.6 GB · up to 256Kfaster

Mac 32 GB

Mac Mini M4 · Macs

Qwen3 14B

Q4_K_M · ~9 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~13 tok/s

6.6 GB · up to 256Kfaster

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~60 tok/s

6.6 GB · up to 256Kfaster

Mac 128 GB

Mac Studio M4 Max · Macs

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 GB · up to 40K

Qwen3.5 9B

Q4_K_M · ~60 tok/s

6.6 GB · up to 256Kfaster

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

Qwen3 14B Qwen3.5 9B

Overall

Qwen3 14B

97.995–101

Qwen3.5 9B

99.496–103

Science

Qwen3 14B

94.187–101

Qwen3.5 9B

104.296–112

Reasoning

Qwen3 14B

87.879–97

Qwen3.5 9B

97.189–105

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

Qwen3.5 9B · #49 of 92 open models · #10 of 34 that fit 24 GB

Benchmarks

7 shared boards: Qwen3 14B leads 2, Qwen3.5 9B leads 5 · Benchmarks imported Oct 2026

BoardQwen3 14BQwen3.5 9B

GPQA Diamond

Qwen3 14B

63.8%#39/97 open

IndependentEpoch AI · Apr 2025

Qwen3.5 9B

79.0%#25/97 open

IndependentEpoch AI · Feb 2026

AIME 2024/2025

Qwen3 14B

66.4%#32/85 open

IndependentEpoch AI · Apr 2025

Qwen3.5 9B

61.7%#36/85 open

IndependentEpoch AI · Feb 2026

SciCode

Qwen3 14B

31.6%#51/65 open

Lab-reportedEpoch AI · Apr 2025

Qwen3.5 9B

27.6%#54/65 open

Lab-reportedEpoch AI · Feb 2026

Chess Puzzles

Qwen3 14B

4.0%#34/67 open

IndependentEpoch AI · Apr 2025

Qwen3.5 9B

12.0%#23/67 open

IndependentEpoch AI · Feb 2026

CritPt

Qwen3 14B

0.0%#61/65 open

Lab-reportedEpoch AI · Apr 2025

Qwen3.5 9B

0.3%#43/65 open

Lab-reportedEpoch AI · Feb 2026

DTBench

Qwen3 14B

64.0%#39/68 open

Lab-reportedEpoch AI · Apr 2025

Qwen3.5 9B

71.2%#31/68 open

Lab-reportedEpoch AI · Feb 2026

LMCA

Qwen3 14B

18.2%#35/54 open

Lab-reportedEpoch AI · Apr 2025

Qwen3.5 9B

24.5%#28/54 open

Lab-reportedEpoch AI · Feb 2026

3 more boards (other shared and single-model boards)

Only Qwen3 14B (1)

Fiction.LiveBench62.5%

Only Qwen3.5 9B (2)

Terminal-Bench9.2%
MMLU-Pro82.5%

VRAM by quantization

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

QuantQwen3 14BQwen3.5 9B

Q2_K

Qwen3 14B

6.9 GB5.8 GB file

32K 11.9 GB · 128K —

Qwen3.5 9B

4.7 GB4.3 GB file

32K 5.5 GB · 128K 8.7 GB

Q3_K_S

Qwen3 14B

7.1 GB6.7 GB file

32K 12.1 GB · 128K —

Qwen3.5 9B

4.8 GB4.3 GB file

32K 5.6 GB · 128K 8.8 GB

Q3_K_M

Qwen3 14B

7.8 GB7.3 GB file

32K 12.9 GB · 128K —

Qwen3.5 9B

5.3 GB4.7 GB file

32K 6.1 GB · 128K 9.3 GB

Q4_0

Qwen3 14B

8.0 GB8.5 GB file

32K 13.1 GB · 128K —

Qwen3.5 9B

5.4 GB5.4 GB file

32K 6.2 GB · 128K 9.4 GB

Q4_K_M

Qwen3 14B

9.5 GB9.0 GB file

32K 14.5 GB · 128K —

Qwen3.5 9B

6.4 GB5.7 GB file

32K 7.2 GB · 128K 10.4 GB

Q5_K_M

Qwen3 14B

11.2 GB10.5 GB file

32K 16.2 GB · 128K —

Qwen3.5 9B

7.5 GB6.6 GB file

32K 8.3 GB · 128K 11.5 GB

Q6_K

Qwen3 14B

12.8 GB12.1 GB file

32K 17.9 GB · 128K —

Qwen3.5 9B

8.5 GB7.5 GB file

32K 9.3 GB · 128K 12.6 GB

Q8_0

Qwen3 14B

15.4 GB15.7 GB file

32K 20.4 GB · 128K —

Qwen3.5 9B

10.2 GB9.5 GB file

32K 11.0 GB · 128K 14.3 GB

19 more quants

IQ2_XXS

Qwen3 14B

4.7 GB4.5 GB file

32K 9.7 GB · 128K —

Qwen3.5 9B

3.2 GB3.2 GB file

32K 4.0 GB · 128K 7.3 GB

IQ2_XS

Qwen3 14B

5.1 GB4.7 GB file

32K 10.1 GB · 128K —

Qwen3.5 9B

not listed

IQ2_S

Qwen3 14B

5.3 GB5.0 GB file

32K 10.3 GB · 128K —

Qwen3.5 9B

3.6 GB3.5 GB file

32K 4.4 GB · 128K 7.6 GB

IQ2_M

Qwen3 14B

5.6 GB5.4 GB file

32K 10.7 GB · 128K —

Qwen3.5 9B

3.8 GB3.6 GB file

32K 4.6 GB · 128K 7.9 GB

IQ3_XXS

Qwen3 14B

6.4 GB6.0 GB file

32K 11.4 GB · 128K —

Qwen3.5 9B

4.3 GB4.0 GB file

32K 5.1 GB · 128K 8.3 GB

Q2_K_S

Qwen3 14B

6.5 GB5.4 GB file

32K 11.6 GB · 128K —

Qwen3.5 9B

not listed

IQ3_XS

Qwen3 14B

6.7 GB6.4 GB file

32K 11.8 GB · 128K —

Qwen3.5 9B

4.6 GB4.8 GB file

32K 5.4 GB · 128K 8.6 GB

IQ3_S

Qwen3 14B

6.9 GB6.7 GB file

32K 11.9 GB · 128K —

Qwen3.5 9B

4.7 GB3.2 GB file

32K 5.5 GB · 128K 8.7 GB

IQ3_M

Qwen3 14B

7.3 GB6.9 GB file

32K 12.3 GB · 128K —

Qwen3.5 9B

4.9 GB5.0 GB file

32K 5.7 GB · 128K 8.9 GB

Q3_K_L

Qwen3 14B

8.2 GB7.9 GB file

32K 13.2 GB · 128K —

Qwen3.5 9B

5.5 GB5.4 GB file

32K 6.3 GB · 128K 9.6 GB

IQ4_XS

Qwen3 14B

8.6 GB8.1 GB file

32K 13.6 GB · 128K —

Qwen3.5 9B

5.8 GB5.2 GB file

32K 6.6 GB · 128K 9.8 GB

IQ4_NL

Qwen3 14B

8.9 GB8.5 GB file

32K 14.0 GB · 128K —

Qwen3.5 9B

6.0 GB5.4 GB file

32K 6.8 GB · 128K 10.0 GB

Q4_1

Qwen3 14B

8.9 GB9.4 GB file

32K 14.0 GB · 128K —

Qwen3.5 9B

6.0 GB5.8 GB file

32K 6.8 GB · 128K 10.0 GB

Q4_K_S

Qwen3 14B

8.9 GB8.6 GB file

32K 14.0 GB · 128K —

Qwen3.5 9B

6.0 GB5.4 GB file

32K 6.8 GB · 128K 10.0 GB

Q4_K_L

Qwen3 14B

9.7 GB9.6 GB file

32K 14.7 GB · 128K —

Qwen3.5 9B

6.5 GB6.9 GB file

32K 7.3 GB · 128K 10.5 GB

Q5_0

Qwen3 14B

9.9 GB10.3 GB file

32K 14.9 GB · 128K —

Qwen3.5 9B

not listed

Q5_K_S

Qwen3 14B

10.8 GB10.3 GB file

32K 15.8 GB · 128K —

Qwen3.5 9B

7.2 GB6.4 GB file

32K 8.0 GB · 128K 11.2 GB

Q5_K_L

Qwen3 14B

11.3 GB11.0 GB file

32K 16.4 GB · 128K —

Qwen3.5 9B

7.6 GB7.7 GB file

32K 8.4 GB · 128K 11.6 GB

BF16

Qwen3 14B

30.2 GB29.5 GB file

32K 35.2 GB · 128K —

Qwen3.5 9B

19.9 GB17.9 GB file

32K 20.7 GB · 128K 23.9 GB

How to run each

Qwen3 14B

Ollama · Q4_K_M

$ollama run hf.co/MaziyarPanahi/Qwen3-14B-GGUF:Q4_K_M

All ways to run Qwen3 14B →

Qwen3.5 9B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3.5-9B-GGUF:Q4_K_M

All ways to run Qwen3.5 9B →

Specifications

Specifications of Qwen3 14B and Qwen3.5 9B
Spec	Qwen3 14B	Qwen3.5 9B
Publisher	Alibaba	Alibaba
Parameters	14.8B	9.7B
Architecture	Qwen3ForCausalLM	Qwen3_5ForConditionalGeneration
Context	40K tokens	256K tokens
Modalities	Chat, Function-calling	Vision, Function-calling
License	Apache 2.0	Apache 2.0
Released	Apr 2025	Feb 2026

Frequently Asked Questions

Which is better, Qwen3 14B or Qwen3.5 9B?

Qwen3 14B and Qwen3.5 9B match in llmrun Score, with values of 97.9 versus 99.4; both fit 24 GB at Q4_K_M; Qwen3.5 9B is 1.5× faster on RTX 4090 (~103 vs ~69 tok/s). Choose Qwen3 14B for also does chat; choose Qwen3.5 9B for stronger at science and stronger at reasoning.

Which needs less VRAM, Qwen3 14B or Qwen3.5 9B?

At Q4_K_M, Qwen3 14B requires 9.5 GB while Qwen3.5 9B needs 6.4 GB, making Qwen3.5 9B 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 103 tok/s for Qwen3.5 9B (Q4_K_M), so Qwen3.5 9B is faster. Estimates, ±20%.

Can I run Qwen3 14B or Qwen3.5 9B on a 16 GB GPU?

Qwen3 14B fits at Q4_K_M; Qwen3.5 9B fits at Q4_K_M.

Which has a longer context window, Qwen3 14B or Qwen3.5 9B?

Qwen3 14B supports 40,960 tokens and Qwen3.5 9B supports 262,144 tokens.