Performance ranking (third-party evaluations)
Performance ranking of models that run in 48 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 48 GB at an 8,192-token context.
Top 34 of 34 models listed on this site
Values as of Nov 9, 2026
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1Qwen3.8-27B
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
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2Qwen3.5-122B-A10B
Qwen 122.1B qwen3.5-122b-a10b
Score (95% interval) 1,416 1,412–1,421
29,496 votes
UD-IQ3_S 48.0 GB
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3Qwen3.5-27B
Qwen 26.9B qwen3.5-27b
Score (95% interval) 1,409 1,404–1,413
28,424 votes
UD-Q8_K_XL 37.3 GB
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4Qwen3-Next-80B-A3B-Instruct
Qwen 79.7B qwen3-next-80b-a3b-instruct
Score (95% interval) 1,399 1,394–1,403
22,692 votes
Q4_1 51.2 GB
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5Qwen3.5-35B-A3B
Qwen 34.7B qwen3.5-35b-a3b
Score (95% interval) 1,394 1,390–1,398
30,206 votes
UD-Q8_K_XL 50.0 GB
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6Qwen3-30B-A3B-Instruct-2507
Qwen 30.5B Qwen3-30B-A3B-Instruct (2507)
Score (95% interval) 1,382 1,377–1,387
23,287 votes
UD-Q8_K_XL 37.6 GB
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7GLM-4.5-Air
zai-org 110.5B glm-4.5-air
Score (95% interval) 1,373 1,369–1,377
30,591 votes
UD-Q2_K_XL 50.1 GB
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8Qwen3-Next-80B-A3B-Thinking
Qwen 79.7B qwen3-next-80b-a3b-thinking
Score (95% interval) 1,369 1,364–1,375
13,450 votes
Q4_1 51.4 GB
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9gemma-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
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10GLM-4.7-Flash
zai-org 29.9B glm-4.7-flash
Score (95% interval) 1,364 1,359–1,370
11,937 votes
UD-Q8_K_XL 36.9 GB
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11Qwen3-32B
Qwen 32.8B qwen3-32b
Score (95% interval) 1,347 1,337–1,356
3,926 votes
UD-Q8_K_XL 42.5 GB
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12gemma-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
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13granite-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
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14QwQ-32B
Qwen 32.8B qwq-32b
Score (95% interval) 1,336 1,331–1,340
25,166 votes
Q8_0 37.8 GB
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15Qwen3-30B-A3B
Qwen 30.5B qwen3-30b-a3b
Score (95% interval) 1,326 1,322–1,331
26,137 votes
UD-Q8_K_XL 37.6 GB
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16Llama-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
Q3_K_S 49.3 GB
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17Llama-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
Q4_1 47.8 GB
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18gpt-oss-20b
openai 20.9B gpt-oss-20b
Score (95% interval) 1,318 1,311–1,324
10,400 votes
F16 15.0 GB
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19gemma-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
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20gemma-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
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21Qwen2.5-72B-Instruct
Qwen 72.7B qwen2.5-72b-instruct
Score (95% interval) 1,303 1,299–1,307
39,406 votes
Q4_K_M 50.9 GB
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22gemma-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
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23granite-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
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24granite-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
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25Mistral-Small-24B-Instruct-2501
mistralai 23.6B Mistral Small 24B Instruct (2501)
Score (95% interval) 1,274 1,268–1,280
14,681 votes
F16 49.3 GB
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26Qwen2.5-Coder-32B-Instruct
Qwen 32.8B qwen2.5-coder-32b-instruct
Score (95% interval) 1,271 1,263–1,279
5,432 votes
Q8_0 37.8 GB
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27gemma-2-9b-it
google 9.2B Gemma 2 9B IT
Score (95% interval) 1,267 1,263–1,271
54,611 votes
F32 40.2 GB
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28phi-4
microsoft 14.7B phi-4
Score (95% interval) 1,256 1,252–1,261
24,126 votes
F16 31.7 GB
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29Mixtral-8x22B-Instruct-v0.1
mistralai 140.6B Mixtral 8x22B Instruct v0.1
Score (95% interval) 1,230 1,225–1,234
51,416 votes
IQ2_M 49.2 GB
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30gemma-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
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31Llama-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
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32Mistral-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
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33Llama-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
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34gemma-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).