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M1 Max vs Radeon RX 6800 for local AI

M1 Max runs 35 of 74 open models well and Radeon RX 6800 runs 23. Here is every model on both, with the grade and the speed you would get.

Runs more models well (grade B or better)

M1 Max

M1 Max: 35 · Radeon RX 6800: 23

Faster on the models both run

Radeon RX 6800 · ×1.2

Median speed ratio over 23 models both load fully in memory.

Specs that matter

M1 Max Radeon RX 6800
Memory compared32 GB (base configuration)16 GB
Memory bandwidth400 GB/s512 GB/s
Memory typeUnified (shared with the system)Dedicated VRAM
BackendMetalVulkan
Released20212020

Every model on both

Grade and output speed at Q4_K_M with an 8K context; green marks the better of the two.

ModelECIM1 MaxRadeon RX 6800
moonshotKimi K3157F—F—
deepseekDeepSeek V4 Pro 0813155F—F—
deepseekDeepSeek V4.1 Flash155F—F—
deepseekDeepSeek V4 Flash 0731154F—F—
zaiGLM 5.3 Flash152F—F—
zaiGLM 5.2152F—F—
moonshotKimi K2.6151F—F—
tInkling Small150F—F—
moonshotKimi K2.7 Code150F—F—
zaiGLM 5.1150F—F—
qwenQwen3.8 27B149B~19 t/sC~14 t/s
deepseekDeepSeek V4 Pro149F—F—
tInkling149F—F—
moonshotKimi K2.5148F—F—
minimaxMiniMax M3147F—F—
minimaxMiniMax M2.5147F—F—
qwenQwen3.5 397B A17B147F—F—
qwenQwen3.6 27B147B~20 t/sC~16 t/s
deepseekDeepSeek V3.2146F—F—
nvidiaNemotron 3 Ultra 550B A55B146F—F—
deepseekDeepSeek V4 Flash146F—F—
moonshotKimi K2 Thinking146F—F—
minimaxMiniMax M2.7146F—F—
zaiGLM 5146F—F—
deepseekDeepSeek V3.2 Exp145F—F—
qwenQwen3.6 35B A3B144B~95 t/sC~63 t/s
qwenQwen3 235B A22B Thinking 2507144F—F—
zaiGLM 4.7144F—F—
googleGemma 4 31B143B~17 t/sC~10 t/s
qwenQwen3.5 35B A3B143B~95 t/sC~65 t/s
googleGemma 4 26B A4B142S~78 t/sC~73 t/s
mistralMistral Medium 3.5 128B141F—F—
moonshotKimi K2140F—F—
openaigpt-oss 120b140F—F—
deepseekDeepSeek V3.1140F—F—
qwenQwen3 30B A3B Thinking 2507140B~85 t/sC~66 t/s
qwenQwen3.5 9B139S~48 t/sS~58 t/s
qwenQwen3 235B A22B 2507139F—F—
openaigpt-oss 20b138S~91 t/sS~113 t/s
qwenQwen3 30B A3B 2507137B~85 t/sC~66 t/s
mistralMagistral Small 2506133A~22 t/sB~26 t/s
mistralMistral Small 3.2 24B132A~22 t/sB~26 t/s
mistralMagistral Small 2509131A~22 t/sB~26 t/s
microsoftPhi-4 14B130A~32 t/sA~38 t/s
metaLlama 4 Scout 17B 16E130F—F—
metaLlama 3.3 70B127F—F—
metaLlama 3.1 8B117S~50 t/sS~61 t/s
cohereCommand A+—F—F—
qwenQwen3.8 Flash Next—F—F—
qwenQwen3.5 122B A10B—F—F—
mistralMistral Small 4 119B—F—F—
qwenQwen3 Coder Next—F—F—
moonshotKimi Linear 48B A3B—F—C~51 t/s
ai2Olmo 3.1 32B Think—B~17 t/sC~9 t/s
nvidiaNemotron 3.5 Lightning 30B A3B—F—C~46 t/s
zaiGLM 4.7 Flash—B~94 t/sC~80 t/s
cohereNorth Mini Code 1.0—B~88 t/sC~70 t/s
ibmGranite 4.2 30B—B~18 t/sC~10 t/s
mistralDevstral Small 2 24B—A~22 t/sB~26 t/s
mistralMinistral 3 14B—A~34 t/sS~41 t/s
googleGemma 4 12B—A~39 t/sS~47 t/s
mistralMinistral 3 8B—S~48 t/sS~58 t/s
ibmGranite 4.2 8B—S~45 t/sS~55 t/s
googleGemma 4 E4B—S~53 t/sS~64 t/s
ai2Olmo 3 7B—S~43 t/sS~52 t/s
googleGemma 4 E2B—S~72 t/sS~89 t/s
qwenQwen3.5 4B—S~77 t/sS~95 t/s
mistralMinistral 3 3B—S~81 t/sS~101 t/s
ibmGranite 4.2 3B—S~80 t/sS~99 t/s
metaLlama 3.2 3B—S~83 t/sS~103 t/s
huggingfaceSmolLM3 3B—S~88 t/sS~110 t/s
liquidLFM2.5 2.6B—S~99 t/sS~125 t/s
qwenQwen3.5 2B—S~112 t/sS~142 t/s
qwenQwen3.5 0.8B—S~144 t/sS~188 t/s

Estimates from published specs and measurements, calibrated per backend. Your drivers, settings and runtime change the real numbers.

Change memory, context or quantOpen this comparison in the interactive tool.