GPT OSS 20B vs Qwen3 14B

GPT OSS 20B and Qwen3 14B match in llmrun Score, with values of 96.4 versus 98.0; both fit 24 GB at Q4_K_M; GPT OSS 20B is 2.8× faster on RTX 4090 (~190 vs ~69 tok/s).

Model A · OpenAI

GPT OSS 20B

96.4llmrun Score

20.9B · 4.2B active · 128K context · Apache 2.0 · Aug 2025

ChatFunctions

Model B · Alibaba

Qwen3 14B

98.0llmrun Score

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

ChatFunctions

Which should you choose?

Choose GPT OSS 20B if you want…

2.8× faster on RTX 4090
~190 vs ~69 tok/s
Longer context window
128K vs 40K tokens
Newer release
Aug 2025 vs Apr 2025

Choose Qwen3 14B if you want…

Lighter on memory
9.5 vs 12.9 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%.

MemoryGPT OSS 20BQwen3 14B

8 GB

RTX 4060 · 8 GB tier

GPT OSS 20B

IQ2_M · ~103 tok/s

7.6 GB · up to 32Kfaster

Qwen3 14B

IQ2_M · ~32 tok/s

8 GB · up to 16K

12 GB

RTX 3060 12GB · 12 GB tier

GPT OSS 20B

IQ4_XS · ~89 tok/s

11.8 GB · up to 16K

Qwen3 14B

Q4_K_M · ~25 tok/s

11.9 GB · up to 16Kmore headroom

16 GB

RTX 5060 Ti 16GB · 16 GB tier

GPT OSS 20B

Q4_K_M · ~98 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~31 tok/s

11.9 GB · up to 40K

24 GBreference

RTX 4090 · 24 GB tier

GPT OSS 20B

Q4_K_M · ~190 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~69 tok/s

11.9 GB · up to 40K

32 GB

RTX 5090 · 32 GB tier

GPT OSS 20B

Q4_K_M · ~282 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~123 tok/s

11.9 GB · up to 40K

48 GB

RTX A6000 · 48 GB tier

GPT OSS 20B

Q4_K_M · ~154 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~53 tok/s

11.9 GB · up to 40K

Mac 32 GB

Mac Mini M4 · Macs

GPT OSS 20B

Q4_K_M · ~28 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~9 tok/s

11.9 GB · up to 40K

Mac 64 GB

Mac Studio M4 Max · Macs

GPT OSS 20B

Q4_K_M · ~86 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 GB · up to 40K

Mac 128 GB

Mac Studio M4 Max · Macs

GPT OSS 20B

Q4_K_M · ~86 tok/s

13.1 GB · up to 128Kfaster

Qwen3 14B

Q4_K_M · ~40 tok/s

11.9 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

GPT OSS 20B Qwen3 14B

Overall

GPT OSS 20B

96.493–100

Qwen3 14B

98.095–101

Coding

GPT OSS 20B

101.993–111

Qwen3 14B

no data

Science

GPT OSS 20B

93.186–101

Qwen3 14B

94.187–102

Reasoning

GPT OSS 20B

91.383–100

Qwen3 14B

88.379–97

GPT OSS 20B · #69 of 106 open models · #16 of 36 that fit 24 GB

Qwen3 14B · #65 of 106 open models · #13 of 36 that fit 24 GB

Benchmarks

6 shared boards: GPT OSS 20B leads 3, Qwen3 14B leads 3 · Benchmarks imported Nov 2026

BoardGPT OSS 20BQwen3 14B

GPQA Diamond

GPT OSS 20B

60.8%#44/100 open

IndependentEpoch AI · Aug 2025

Qwen3 14B

63.8%#42/100 open

IndependentEpoch AI · Apr 2025

AIME 2024/2025

GPT OSS 20B

65.3%#36/88 open

IndependentEpoch AI · Aug 2025

Qwen3 14B

66.4%#35/88 open

IndependentEpoch AI · Apr 2025

SciCode

GPT OSS 20B

38.9%#41/72 open

Lab-reportedEpoch AI · Aug 2025

Qwen3 14B

31.6%#58/72 open

Lab-reportedEpoch AI · Apr 2025

CritPt

GPT OSS 20B

1.4%#36/84 open

Lab-reportedEpoch AI · Aug 2025

Qwen3 14B

0.0%#77/84 open

Lab-reportedEpoch AI · Apr 2025

DTBench

GPT OSS 20B

68.0%#36/70 open

Lab-reportedEpoch AI · Aug 2025

Qwen3 14B

64.0%#41/70 open

Lab-reportedEpoch AI · Apr 2025

LMCA

GPT OSS 20B

14.5%#45/56 open

Lab-reportedEpoch AI · Aug 2025

Qwen3 14B

18.2%#37/56 open

Lab-reportedEpoch AI · Apr 2025

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

Only GPT OSS 20B (5)

Only Qwen3 14B (1)

Fiction.LiveBench62.5%

VRAM by quantization

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

QuantGPT OSS 20BQwen3 14B

Q2_K

GPT OSS 20B

9.3 GB11.5 GB file

32K 9.8 GB · 128K 11.5 GB

Qwen3 14B

6.9 GB5.8 GB file

32K 11.9 GB · 128K —

Q3_K_S

GPT OSS 20B

9.5 GB11.5 GB file

32K 10.0 GB · 128K 11.7 GB

Qwen3 14B

7.1 GB6.7 GB file

32K 12.1 GB · 128K —

Q3_K_M

GPT OSS 20B

10.6 GB11.5 GB file

32K 11.1 GB · 128K 12.8 GB

Qwen3 14B

7.8 GB7.3 GB file

32K 12.9 GB · 128K —

Q4_0

GPT OSS 20B

10.8 GB11.5 GB file

32K 11.3 GB · 128K 13.0 GB

Qwen3 14B

8.0 GB8.5 GB file

32K 13.1 GB · 128K —

Q4_K_M

GPT OSS 20B

12.9 GB11.6 GB file

32K 13.4 GB · 128K 15.1 GB

Qwen3 14B

9.5 GB9.0 GB file

32K 14.5 GB · 128K —

Q5_K_M

GPT OSS 20B

15.3 GB11.7 GB file

32K 15.8 GB · 128K 17.5 GB

Qwen3 14B

11.2 GB10.5 GB file

32K 16.2 GB · 128K —

Q6_K

GPT OSS 20B

17.6 GB12.0 GB file

32K 18.1 GB · 128K 19.8 GB

Qwen3 14B

12.8 GB12.1 GB file

32K 17.9 GB · 128K —

Q8_0

GPT OSS 20B

21.3 GB~20.9 GB file

32K 21.8 GB · 128K 23.5 GB

Qwen3 14B

15.4 GB15.7 GB file

32K 20.4 GB · 128K —

19 more quants

IQ2_XXS

GPT OSS 20B

6.1 GB~5.8 GB file

32K 6.6 GB · 128K 8.3 GB

Qwen3 14B

4.7 GB4.5 GB file

32K 9.7 GB · 128K —

IQ2_XS

GPT OSS 20B

6.7 GB~6.3 GB file

32K 7.2 GB · 128K 8.9 GB

Qwen3 14B

5.1 GB4.7 GB file

32K 10.1 GB · 128K —

IQ2_S

GPT OSS 20B

6.9 GB~6.5 GB file

32K 7.4 GB · 128K 9.1 GB

Qwen3 14B

5.3 GB5.0 GB file

32K 10.3 GB · 128K —

IQ2_M

GPT OSS 20B

7.4 GB~7.1 GB file

32K 7.9 GB · 128K 9.6 GB

Qwen3 14B

5.6 GB5.4 GB file

32K 10.7 GB · 128K —

IQ3_XXS

GPT OSS 20B

8.5 GB11.6 GB file

32K 9.0 GB · 128K 10.7 GB

Qwen3 14B

6.4 GB6.0 GB file

32K 11.4 GB · 128K —

Q2_K_S

GPT OSS 20B

8.7 GB12.1 GB file

32K 9.2 GB · 128K 10.9 GB

Qwen3 14B

6.5 GB5.4 GB file

32K 11.6 GB · 128K —

IQ3_XS

GPT OSS 20B

9.0 GB11.6 GB file

32K 9.5 GB · 128K 11.2 GB

Qwen3 14B

6.7 GB6.4 GB file

32K 11.8 GB · 128K —

IQ3_S

GPT OSS 20B

9.3 GB12.1 GB file

32K 9.8 GB · 128K 11.5 GB

Qwen3 14B

6.9 GB6.7 GB file

32K 11.9 GB · 128K —

IQ3_M

GPT OSS 20B

9.8 GB11.6 GB file

32K 10.3 GB · 128K 12.0 GB

Qwen3 14B

7.3 GB6.9 GB file

32K 12.3 GB · 128K —

Q3_K_L

GPT OSS 20B

11.1 GB11.5 GB file

32K 11.6 GB · 128K 13.3 GB

Qwen3 14B

8.2 GB7.9 GB file

32K 13.2 GB · 128K —

IQ4_XS

GPT OSS 20B

11.6 GB11.6 GB file

32K 12.1 GB · 128K 13.8 GB

Qwen3 14B

8.6 GB8.1 GB file

32K 13.6 GB · 128K —

IQ4_NL

GPT OSS 20B

12.1 GB11.6 GB file

32K 12.6 GB · 128K 14.3 GB

Qwen3 14B

8.9 GB8.5 GB file

32K 14.0 GB · 128K —

Q4_1

GPT OSS 20B

12.1 GB11.6 GB file

32K 12.6 GB · 128K 14.3 GB

Qwen3 14B

8.9 GB9.4 GB file

32K 14.0 GB · 128K —

Q4_K_S

GPT OSS 20B

12.1 GB11.6 GB file

32K 12.6 GB · 128K 14.3 GB

Qwen3 14B

8.9 GB8.6 GB file

32K 14.0 GB · 128K —

Q4_K_L

GPT OSS 20B

13.2 GB11.9 GB file

32K 13.7 GB · 128K 15.4 GB

Qwen3 14B

9.7 GB9.6 GB file

32K 14.7 GB · 128K —

Q5_0

GPT OSS 20B

not listed

Qwen3 14B

9.9 GB10.3 GB file

32K 14.9 GB · 128K —

Q5_K_S

GPT OSS 20B

14.8 GB11.7 GB file

32K 15.3 GB · 128K 17.0 GB

Qwen3 14B

10.8 GB10.3 GB file

32K 15.8 GB · 128K —

Q5_K_L

GPT OSS 20B

15.5 GB11.9 GB file

32K 16.0 GB · 128K 17.7 GB

Qwen3 14B

11.3 GB11.0 GB file

32K 16.4 GB · 128K —

BF16

GPT OSS 20B

42.2 GB~41.8 GB file

32K 42.7 GB · 128K 44.4 GB

Qwen3 14B

30.2 GB29.5 GB file

32K 35.2 GB · 128K —

How to run each

GPT OSS 20B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/gpt-oss-20b-GGUF:Q4_K_M

All ways to run GPT OSS 20B →

Qwen3 14B

Ollama · Q4_K_M

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

All ways to run Qwen3 14B →

Specifications

Specifications of GPT OSS 20B and Qwen3 14B
Spec	GPT OSS 20B	Qwen3 14B
Publisher	OpenAI	Alibaba
Parameters	20.9B	14.8B
Active parameters	4.2B per token	—
Architecture	GptOssForCausalLM	Qwen3ForCausalLM
Context	128K tokens	40K tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	Apache 2.0	Apache 2.0
Released	Aug 2025	Apr 2025

Frequently Asked Questions

Which is better, GPT OSS 20B or Qwen3 14B?

GPT OSS 20B and Qwen3 14B match in llmrun Score, with values of 96.4 versus 98.0; both fit 24 GB at Q4_K_M; GPT OSS 20B is 2.8× faster on RTX 4090 (~190 vs ~69 tok/s). Choose GPT OSS 20B for 2.8× faster on RTX 4090 and longer context window; choose Qwen3 14B for lighter on memory.

Which needs less VRAM, GPT OSS 20B or Qwen3 14B?

At Q4_K_M, GPT OSS 20B requires 12.9 GB while Qwen3 14B needs 9.5 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 190 tok/s for GPT OSS 20B (Q4_K_M) and 69 tok/s for Qwen3 14B (Q4_K_M), so GPT OSS 20B is faster. Estimates, ±20%.

Can I run GPT OSS 20B or Qwen3 14B on a 16 GB GPU?

GPT OSS 20B fits at Q4_K_M; Qwen3 14B fits at Q4_K_M.

Which has a longer context window, GPT OSS 20B or Qwen3 14B?

GPT OSS 20B supports 131,072 tokens and Qwen3 14B supports 40,960 tokens.