Performance ranking (third-party evaluations)

Performance ranking of models that run in 32 GB of VRAM (LMArena)

Scores computed from people voting between two models' answers (Bradley-Terry, with style control). The range is the 95% interval; differences between models whose ranges overlap are not clear.

Only models with a quantization whose estimated memory fits in 32 GB at an 8,192-token context.

Top 32 of 32 models listed on this site

Values as of Nov 9, 2026

Rank Model Score (95% interval) Quantization that fits 32 GB
1

Qwen3.8-27B
Qwen 27.3B qwen3.8-27b

Score (95% interval) 1,433 1,429–1,438

32,659 votes

UD-Q8_K_XL 33.2 GB
2

Qwen3.5-27B
Qwen 26.9B qwen3.5-27b

Score (95% interval) 1,409 1,404–1,413

28,424 votes

Q8_0 30.9 GB
3

Qwen3-Next-80B-A3B-Instruct
Qwen 79.7B qwen3-next-80b-a3b-instruct

Score (95% interval) 1,399 1,394–1,403

22,692 votes

UD-IQ3_XXS 34.2 GB
4

Qwen3.5-35B-A3B
Qwen 34.7B qwen3.5-35b-a3b

Score (95% interval) 1,394 1,390–1,398

30,206 votes

UD-Q6_K_XL 33.4 GB
5

Qwen3-30B-A3B-Instruct-2507
Qwen 30.5B Qwen3-30B-A3B-Instruct (2507)

Score (95% interval) 1,382 1,377–1,387

23,287 votes

Q8_0 34.1 GB
6

Qwen3-Next-80B-A3B-Thinking
Qwen 79.7B qwen3-next-80b-a3b-thinking

Score (95% interval) 1,369 1,364–1,375

13,450 votes

IQ3_XS 34.2 GB
7

gemma-3-27b-it
google 27B Gemma 3 27B IT

Score (95% interval) 1,365 1,362–1,369

46,613 votes

UD-Q8_K_XL 34.2 GB
8

GLM-4.7-Flash
zai-org 29.9B glm-4.7-flash

Score (95% interval) 1,364 1,359–1,370

11,937 votes

Q8_0 33.1 GB
9

Qwen3-32B
Qwen 32.8B qwen3-32b

Score (95% interval) 1,347 1,337–1,356

3,926 votes

UD-Q6_K_XL 32.0 GB
10

gemma-3-12b-it
google 11.8B Gemma 3 12B IT

Score (95% interval) 1,342 1,332–1,351

3,829 votes

BF16 25.7 GB
11

granite-4.2-30b
ibm-granite 29.3B Granite 4.2 30B

Score (95% interval) 1,340 1,329–1,350

3,314 votes

Q8_0 34.0 GB
12

QwQ-32B
Qwen 32.8B qwq-32b

Score (95% interval) 1,336 1,331–1,340

25,166 votes

Q6_K 29.9 GB
13

Qwen3-30B-A3B
Qwen 30.5B qwen3-30b-a3b

Score (95% interval) 1,326 1,322–1,331

26,137 votes

Q8_0 34.1 GB
14

Llama-4-Scout-17B-16E-Instruct
meta-llama 107.8B Llama 4 Scout 17B 16E Instruct

Score (95% interval) 1,322 1,317–1,326

29,777 votes

UD-TQ1_0 31.8 GB
15

Llama-3.3-70B-Instruct
meta-llama 70.6B Llama 3.3 70B Instruct

Score (95% interval) 1,318 1,315–1,322

54,482 votes

IQ3_XS 32.8 GB
16

gpt-oss-20b
openai 20.9B gpt-oss-20b

Score (95% interval) 1,318 1,311–1,324

10,400 votes

F16 15.0 GB
17

gemma-3n-E4B-it
google 6.9B Gemma 3n E4B IT

Score (95% interval) 1,317 1,312–1,323

22,106 votes

F16 14.9 GB
18

gemma-3-4b-it
google 3.9B Gemma 3 4B IT

Score (95% interval) 1,303 1,294–1,313

4,171 votes

BF16 9.19 GB
19

Qwen2.5-72B-Instruct
Qwen 72.7B qwen2.5-72b-instruct

Score (95% interval) 1,303 1,299–1,307

39,406 votes

Q2_K 33.3 GB
20

gemma-2-27b-it
google 27.2B Gemma 2 27B IT

Score (95% interval) 1,290 1,286–1,293

75,754 votes

Q8_0 33.5 GB
21

granite-4.2-8b
ibm-granite 8.8B Granite 4.2 8B

Score (95% interval) 1,290 1,278–1,301

3,196 votes

BF16 19.7 GB
22

granite-4.2-3b
ibm-granite 3.7B Granite 4.2 3B

Score (95% interval) 1,289 1,277–1,301

3,185 votes

BF16 8.74 GB
23

Mistral-Small-24B-Instruct-2501
mistralai 23.6B Mistral Small 24B Instruct (2501)

Score (95% interval) 1,274 1,268–1,280

14,681 votes

Q8_0 27.2 GB
24

Qwen2.5-Coder-32B-Instruct
Qwen 32.8B qwen2.5-coder-32b-instruct

Score (95% interval) 1,271 1,263–1,279

5,432 votes

Q6_K_L 30.3 GB
25

gemma-2-9b-it
google 9.2B Gemma 2 9B IT

Score (95% interval) 1,267 1,263–1,271

54,611 votes

Q8_0 14.0 GB
26

phi-4
microsoft 14.7B phi-4

Score (95% interval) 1,256 1,252–1,261

24,126 votes

F16 31.7 GB
27

Mixtral-8x22B-Instruct-v0.1
mistralai 140.6B Mixtral 8x22B Instruct v0.1

Score (95% interval) 1,230 1,225–1,234

51,416 votes

IQ1_S 32.1 GB
28

gemma-2-2b-it
google 2.6B Gemma 2 2B IT

Score (95% interval) 1,200 1,196–1,204

46,616 votes

F32 12.2 GB
29

Llama-3.2-3B-Instruct
meta-llama 3.2B Llama 3.2 3B Instruct

Score (95% interval) 1,167 1,159–1,175

7,936 votes

F16 8.17 GB
30

Mistral-7B-Instruct-v0.2
mistralai 7.2B Mistral 7B Instruct v0.2

Score (95% interval) 1,149 1,143–1,156

19,402 votes

Q8_0 9.37 GB
31

Llama-3.2-1B-Instruct
meta-llama 1.2B Llama 3.2 1B Instruct

Score (95% interval) 1,111 1,103–1,119

8,045 votes

F16 3.55 GB
32

gemma-2b-it
lmstudio-ai 2.5B Gemma 2B IT

Score (95% interval) 1,094 1,082–1,105

4,780 votes

Q8_0 3.89 GB

Estimated Memory at 8K: Estimated with a formula. Actual usage depends on your setup and settings.

About this ranking

Values for open-weight models come from the latest version of LMArena's Hugging Face dataset (text, style control, overall). Updated weekly.
Values are for the original model before quantization. GGUF quantization (especially small quantizations) can lower performance.
Values are attached only when the model name in the source matches a model listed on this site (its original Hugging Face repository). Fine-tunes and modified versions do not get them.
Each source is a separate ranking. We do not mix values from different sources or assign our own scores.
Small and new models are often not evaluated by the source, so they do not appear here.

Values are from LMArena data (CC BY 4.0), shown unchanged (sorting and filtering by this site).