Skip to content

M4 Pro vs Radeon RX 7600 XT for local AI

M4 Pro runs 23 of 74 open models well and Radeon RX 7600 XT 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)

About even

M4 Pro: 23 · Radeon RX 7600 XT: 23

Faster on the models both run

About even

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

Specs that matter

M4 Pro Radeon RX 7600 XT
Memory compared24 GB (base configuration)16 GB
Memory bandwidth273 GB/s288 GB/s
Memory typeUnified (shared with the system)Dedicated VRAM
BackendMetalVulkan
Released20242024

Every model on both

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

ModelECIM4 ProRadeon RX 7600 XT
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 27B149F—C~10 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 27B147F—C~11 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 A3B144F—C~55 t/s
qwenQwen3 235B A22B Thinking 2507144F—F—
zaiGLM 4.7144F—F—
googleGemma 4 31B143F—C~8 t/s
qwenQwen3.5 35B A3B143F—C~56 t/s
googleGemma 4 26B A4B142F—C~55 t/s
mistralMistral Medium 3.5 128B141F—F—
moonshotKimi K2140F—F—
openaigpt-oss 120b140F—F—
deepseekDeepSeek V3.1140F—F—
qwenQwen3 30B A3B Thinking 2507140F—C~53 t/s
qwenQwen3.5 9B139A~35 t/sA~36 t/s
qwenQwen3 235B A22B 2507139F—F—
openaigpt-oss 20b138S~73 t/sS~80 t/s
qwenQwen3 30B A3B 2507137F—C~53 t/s
mistralMagistral Small 2506133B~16 t/sB~15 t/s
mistralMistral Small 3.2 24B132B~16 t/sB~15 t/s
mistralMagistral Small 2509131B~16 t/sB~15 t/s
microsoftPhi-4 14B130A~23 t/sA~23 t/s
metaLlama 4 Scout 17B 16E130F—F—
metaLlama 3.3 70B127F—F—
metaLlama 3.1 8B117A~37 t/sA~38 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~47 t/s
ai2Olmo 3.1 32B Think—F—C~7 t/s
nvidiaNemotron 3.5 Lightning 30B A3B—F—C~41 t/s
zaiGLM 4.7 Flash—F—C~64 t/s
cohereNorth Mini Code 1.0—F—C~57 t/s
ibmGranite 4.2 30B—F—C~8 t/s
mistralDevstral Small 2 24B—B~16 t/sB~15 t/s
mistralMinistral 3 14B—A~25 t/sA~25 t/s
googleGemma 4 12B—A~29 t/sA~29 t/s
mistralMinistral 3 8B—A~36 t/sA~36 t/s
ibmGranite 4.2 8B—A~34 t/sA~34 t/s
googleGemma 4 E4B—A~40 t/sS~41 t/s
ai2Olmo 3 7B—A~32 t/sA~32 t/s
googleGemma 4 E2B—S~56 t/sS~59 t/s
qwenQwen3.5 4B—S~60 t/sS~64 t/s
mistralMinistral 3 3B—S~64 t/sS~69 t/s
ibmGranite 4.2 3B—S~63 t/sS~68 t/s
metaLlama 3.2 3B—S~66 t/sS~71 t/s
huggingfaceSmolLM3 3B—S~71 t/sS~77 t/s
liquidLFM2.5 2.6B—S~82 t/sS~90 t/s
qwenQwen3.5 2B—S~94 t/sS~106 t/s
qwenQwen3.5 0.8B—S~131 t/sS~157 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.