Skip to content
All devices

80 GB VRAM · 3350 GB/s · CUDA

AI models for H100 80GB (SXM)

Here are the best open models for each job on the H100 80GB (SXM), and every model's grade below.

Your hardware

…

Memory
GB
Bandwidth
GB/s
Context

 

Most intelligent on your …

Intelligence (ECI) of the most intelligent models that load · colour shows how well they run

Expected speed

Tokens per second on your … for the most intelligent models that run well

Models available with more memory

Open models that run well (grade B or better) at each memory size

Scores from Oct 8, 2026 · 0 new models in the last two months

Every model on the H100 80GB (SXM)

Q4_K_M, 8K context, 80 GB of memory. Change your setup above for exact numbers.

GradeModelMemorySpeed
Sopenaigpt-oss 120b 116.8B59 GB~758 tok/s
SmetaLlama 4 Scout 17B 16E 108.6B62.7 GB~199 tok/s
SqwenQwen3 Coder Next 79.7B45.7 GB~1,138 tok/s
SmetaLlama 3.3 70B Instruct 70.6B42.4 GB~50 tok/s
SmoonshotKimi Linear 48B A3B 49.1B28.4 GB~1,174 tok/s
SqwenQwen3.6 35B A3B 36B21.2 GB~1,129 tok/s
SqwenQwen3.5 35B A3B 36B21 GB~1,142 tok/s
Sai2Olmo 3.1 32B Think 32.2B19.7 GB~107 tok/s
SnvidiaNemotron 3.5 Lightning 30B A3B 31.6B24.1 GB~897 tok/s
SgoogleGemma 4 31B 31.3B18.8 GB~113 tok/s
SzaiGLM 4.7 Flash 31.2B17.8 GB~1,108 tok/s
SqwenQwen3 30B A3B Thinking 2507 30.5B18.3 GB~911 tok/s
SqwenQwen3 30B A3B Instruct 2507 30.5B18.3 GB~911 tok/s
ScohereNorth Mini Code 1.0 30.5B18.2 GB~973 tok/s
SibmGranite 4.2 30B 29.3B19.1 GB~115 tok/s
SqwenQwen3.8 27B 27.8B17 GB~124 tok/s
SqwenQwen3.6 27B 27.8B16.5 GB~128 tok/s
SgoogleGemma 4 26B A4B 25.8B16.5 GB~783 tok/s
SmistralDevstral Small 2 24B 24B14.9 GB~146 tok/s
SmistralMagistral Small 2509 24B14.9 GB~146 tok/s
SmistralMistral Small 3.2 24B 24B14.9 GB~146 tok/s
SmistralMagistral Small 2506 23.6B14.9 GB~146 tok/s
Sopenaigpt-oss 20b 20.9B11.3 GB~1,043 tok/s
SmicrosoftPhi-4 14B 14.7B10.1 GB~226 tok/s
SmistralMinistral 3 14B 14B9.2 GB~246 tok/s
SgoogleGemma 4 12B 12B7.4 GB~292 tok/s
SqwenQwen3.5 9B 9.7B5.8 GB~377 tok/s
SmistralMinistral 3 8B 8.9B6.2 GB~380 tok/s
SibmGranite 4.2 8B 8.8B6.7 GB~353 tok/s
SmetaLlama 3.1 8B Instruct 8B5.9 GB~402 tok/s
SgoogleGemma 4 E4B 8B5.1 GB~433 tok/s
Sai2Olmo 3 7B Instruct 7.3B7 GB~332 tok/s
SgoogleGemma 4 E2B 5.1B3.3 GB~697 tok/s
SqwenQwen3.5 4B 4.7B3.1 GB~763 tok/s
SmistralMinistral 3 3B 3.9B3.1 GB~850 tok/s
SibmGranite 4.2 3B 3.7B3.1 GB~827 tok/s
SmetaLlama 3.2 3B Instruct 3.2B3.1 GB~882 tok/s
ShuggingfaceSmolLM3 3B 3.1B2.6 GB~990 tok/s
SliquidLFM2.5 2.6B 2.7B2 GB~1,253 tok/s
SqwenQwen3.5 2B 2.3B1.6 GB~1,649 tok/s
SqwenQwen3.5 0.8B 0.9B0.9 GB~3,766 tok/s
BmistralMistral Medium 3.5 128B 127.7B72.8 GB~29 tok/s
BqwenQwen3.5 122B A10B 125.1B71.8 GB~353 tok/s
BmistralMistral Small 4 119B 119.4B68.1 GB~542 tok/s
30 models do not fit on the H100 80GB (SXM)
GradeModelMemorySpeed
FmoonshotKimi K3 2.8T1,584.5 GB—
FdeepseekDeepSeek V4 Pro 0813 1.7T886.8 GB—
FdeepseekDeepSeek V4 Pro 1.6T886.8 GB—
FmoonshotKimi K2.6 1T578.8 GB—
FmoonshotKimi K2.7 Code 1T578.8 GB—
FmoonshotKimi K2.5 1T579.4 GB—
FmoonshotKimi K2 Thinking 1T579.4 GB—
FmoonshotKimi K2 Instruct 1T579 GB—
FtInkling 952.4B534 GB—
FdeepseekDeepSeek V4.1 Flash 763.2B435.8 GB—
FzaiGLM 5.1 753.9B429.2 GB—
FzaiGLM 5 753.9B425.7 GB—
FzaiGLM 5.2 753.3B424.5 GB—
FdeepseekDeepSeek V3.2 Exp 685.4B391.5 GB—
FdeepseekDeepSeek V3.2 685.4B378.5 GB—
FdeepseekDeepSeek V3.1 684.5B378.4 GB—
FnvidiaNemotron 3 Ultra 550B A55B 560.5B321.8 GB—
FminimaxMiniMax M3 427B244.6 GB—
FqwenQwen3.5 397B A17B 403.4B227.9 GB—
FzaiGLM 4.7 358.3B204.8 GB—
FzaiGLM 5.3 Flash 321.3B176.1 GB—
FdeepseekDeepSeek V4 Flash 0731 304.2B161 GB—
FdeepseekDeepSeek V4 Flash 290.9B166.7 GB—
FtInkling Small 266B149 GB—
FqwenQwen3 235B A22B Thinking 2507 235.1B134.2 GB—
FqwenQwen3 235B A22B Instruct 2507 235.1B134.2 GB—
FminimaxMiniMax M2.5 228.7B131.1 GB—
FminimaxMiniMax M2.7 228.7B131.5 GB—
FcohereCommand A+ 218.8B126.7 GB—
FqwenQwen3.8 Flash Next 180B111.9 GB—

Share a measured speed

Run one of these and paste the whole output below (or just the tokens per second):

llama-bench -m model.gguf
ollama run model --verbose

Published anonymously and kept. We store no account or address, only a daily-changing hash for a limit of ten submissions a day.

Next steps