Zinaenda vizuri 41
Inatosha na kubakiza nafasi ya context, kwa tokeni 10 au zaidi kwa sekunde.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Qwen3.8 27B27B · Akili 33.7 | 6-bit | 21.9 GB | 11–20 |
| Qwen3.6 35B A3B35B · 3B zinazotumika · Akili 18.2 | 6-bit | 28.4 GB | 102–182 |
| Muse Glimmer 30B29.6B · Akili 17.5 | 6-bit | 24.1 GB | 10–18 |
| Gemma 4 31B30.7B · Akili 14.7 | 6-bit | 24.9 GB | 10–18 |
| Nemotron 3.5 Lightning 30B A3B30B · 3B zinazotumika · Akili 12.9 | 8-bit | 31.9 GB | 77–137 |
| Granite 4.2 30B30B · Akili 12.7 | 6-bit | 24.4 GB | 10–18 |
| MiniCPM5 2B2.52B · Akili 12.5 | 8-bit | 2.7 GB | 91–162 |
| Qwen3.5 9B9B · Akili 11.2 | 8-bit | 9.6 GB | 26–46 |
| Granite 4.2 8B8B · Akili 11.1 | 8-bit | 8.5 GB | 29–51 |
| Granite 4.2 3B3B · Akili 9.1 | 8-bit | 3.2 GB | 77–137 |
| gpt-oss-20b21B · 3.6B zinazotumika · Akili 9 | 4.25-bit asili | 13.8 GB | 129–230 |
| Nemotron 3 Nano 30B A3B30B · 3.5B zinazotumika · Akili 8.9 | 8-bit | 31.9 GB | 66–118 |
| Gemma 4 E4B8B · Akili 8.9 | 8-bit | 8.5 GB | 51–91 |
| Ministral 3 8B8.9B · Akili 5.5 | 8-bit | 9.5 GB | 26–46 |
| Nemotron 3 Nano 4B3.97B · Akili 4.8 | 8-bit | 4.2 GB | 59–104 |
| Qwen3 Coder 30B A3B Instruct30.5B · 3.3B zinazotumika | 8-bit | 32.4 GB | 70–125 |
| GLM-4.7 Flash30B · 3B zinazotumika | 8-bit | 31.9 GB | 77–137 |
| Qwen3.6 27B27B | 6-bit | 21.9 GB | 11–20 |
| Gemma 4 26B A4B25.2B · 3.8B zinazotumika | 8-bit | 26.8 GB | 61–109 |
| Devstral Small 2 (24B)24B | 8-bit | 25.5 GB | 10–17 |
| Magistral Small 1.2 (2509)24B | 8-bit | 25.5 GB | 10–17 |
| Mistral Small 3.2 (24B)24B | 8-bit | 25.5 GB | 10–17 |
| LFM2.5 24B A2B24B · 2B zinazotumika | 8-bit | 25.5 GB | 117–208 |
| Phi-4 Reasoning Vision 15B15B | 8-bit | 15.9 GB | 15–27 |
| Phi-4 (14B)14B | 8-bit | 14.9 GB | 16–29 |
| Gemma 4 12B Unified12B | 8-bit | 12.7 GB | 19–34 |
| Qwen3 8B8.2B | 8-bit | 8.7 GB | 28–50 |
| Llama 3.1 8B Instruct8B | 8-bit | 8.5 GB | 29–51 |
| Gemma 4 E2B5.1B | 8-bit | 5.4 GB | 102–182 |
| Qwen3.5 4B4B | 8-bit | 4.3 GB | 57–102 |
| Phi-4 mini instruct3.8B | 8-bit | 4 GB | 61–109 |
| Llama 3.2 3B Instruct3.21B | 8-bit | 3.4 GB | 72–128 |
| SmolLM3 3B3B | 8-bit | 3.2 GB | 77–137 |
| LFM2.5 2.6B2.69B | 8-bit | 2.9 GB | 85–151 |
| Qwen3.5 2B2B | 8-bit | 2.1 GB | 117–208 |
| Llama 3.2 1B Instruct1.23B | 8-bit | 1.3 GB | 189–336 |
| Qwen3.5 0.8B0.8B | 8-bit | 0.9 GB | 273–485 |
| Qwen3 0.6B0.6B | 8-bit | 0.6 GB | 410–728 |
| Nemotron 3.5 Bolt 74B A9B74B · 9B zinazotumika · Akili 21.4 | 3-bit ubora wa chini | 32.4 GB | 63–112 |
| Qwen3 Coder Next80B · 3B zinazotumika · Akili 9.2 | 2-bit ubora wa chini | 25 GB | 273–485 |
| GLM-4.5 Air106B · 12B zinazotumika | 2-bit ubora wa chini | 33.1 GB | 65–115 |
Zinaenda, lakini polepole 1
Inatosha, lakini chini ya tokeni 10 kwa sekunde: sawa kwa kazi za kundi, polepole kwa mazungumzo.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Llama 3.3 70B Instruct70B | 3-bit ubora wa chini | 30.6 GB | 8–14 |
Zinatosha kwa shida 8
Inahitaji karibu kumbukumbu yote: ongeza kikomo cha kumbukumbu ya GPU na weka context fupi.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Qwen3.5 122B A10B122B · 10B zinazotumika · Akili 15.6 | 2-bit ubora wa chini | 38.1 GB | 79–141 |
| Mistral Medium 3.5 (128B)128B · Akili 14.2 | 2-bit ubora wa chini | 40 GB | 6–11 |
| gpt-oss-120b117B · 5.1B zinazotumika · Akili 11.6 | 2-bit ubora wa chini | 36.6 GB | 154–273 |
| Mistral Small 4 (119B)119B · 6.5B zinazotumika · Akili 11.3 | 2-bit ubora wa chini | 37.2 GB | 123–218 |
| Llama 4 Scout 17B-16E Instruct109B · 17B zinazotumika · Akili 6.5 | 2-bit ubora wa chini | 34.1 GB | 46–82 |
| Devstral 2 (123B)123B | 2-bit ubora wa chini | 38.4 GB | 6–11 |
| Ornith 1.5 122B122B · 10B zinazotumika | 2-bit ubora wa chini | 38.1 GB | 79–141 |
| Nemotron 3 Super 120B A12B120B · 12B zinazotumika | 2-bit ubora wa chini | 37.5 GB | 65–115 |
Kubwa mno 23
Inahitaji kumbukumbu zaidi ya GB 48, hata kwa biti 2.
- MiMo V2.6 Pro1,020B
- Kimi K32,800B
- MiMo V2.6 Flash309B
- Kimi K2.7 Code1,000B
- Kimi K2.61,000B
- DeepSeek V4.1 Flash 1017552B
- GLM-5.3744B
- GLM-5.3 Flash320B
- Qwen3.8 2.4T A95B2,400B
- Qwen3.8 Flash Next180B
- Muse Spark Open816B
- DeepSeek V4 Pro 08131,600B
- Beam 1.0501B
- MiniMax M3428B
- Inkling Small276B
- Hy3295B
- Inkling975B
- Nemotron 3 Ultra 550B A55B550B
- Qwen3.5 397B A17B397B
- Llama 4 Maverick 17B-128E Instruct400B
- Mistral Large 3 (675B)675B
- DeepSeek V4 Flash 0731284B
- MiniMax M2.7230B
Mac nyingine
Kila Mac yenye GB 48, ya chipu yoyote.
M4 Max yenye kumbukumbu zaidi au kidogo:
Chipu jirani:
Ana kwa ana:
- M1 Max vs M4 Max
- M2 Max vs M4 Max
- M2 Ultra vs M4 Max
- M3 Max vs M4 Max
- M3 Ultra vs M4 Max
- M4 Pro vs M4 Max
- M4 Max vs M5 Max
- M4 Max vs M5 Ultra
Dhidi ya PC na kadi za michoro:
Ilinganishe na Mac au GPU yoyote · M4 Max kwa AI ya ndani ya kifaa · Mac bora kwa LLM za ndani · Kila Mac
Maswali
- LLM ipi ni bora kwa M4 Max yenye GB 48?
- Miongoni mwa modeli zenye Intelligence Index iliyochapishwa, Qwen3.8 27B ina alama ya juu zaidi kati ya zile zinazoenda vizuri hapa: 6-bit, takriban tokeni 11–20 kwa sekunde. Kubwa zaidi inayoenda vizuri ni Qwen3.6 35B A3B.
- Je, M4 Max yenye GB 48 inaweza kuendesha Llama 3.3 70B?
- Ndiyo, lakini polepole: 3-bit (ubora wa chini), kwa takriban tokeni 8–14 kwa sekunde.
- gpt-oss-20b ina kasi gani kwenye M4 Max?
- Takriban tokeni 129–230 kwa sekunde (4.25-bit asili), kutokana na bandwidth ya kumbukumbu ya chipu ya 546 GB/s.
Ziendeshe kwa MLX Harness (bure, open source) au mlx-lm ya Apple ndani ya Terminal: hatua kwa hatua.
Jinsi inavyokokotolewa
Kumbukumbu: vigezo vya modeli kwa biti 8, 6, 4, 3 au 2 kwa kila weight pamoja na group scales za MLX (nusu biti kwa kila weight), au muundo wake asili, pamoja na nafasi ya context juu yake. Kwa chaguo-msingi macOS huiruhusu GPU kutumia takriban 75% ya unified memory. Kasi: bandwidth ya kumbukumbu ikigawanywa kwa baiti zinazosomwa kwa kila tokeni ndiyo kikomo cha juu kwa mazungumzo moja; katika benchmarks za umma za llama.cpp kwenye Apple Silicon uendeshaji halisi hufikia takriban 45% hadi 80% yake, na huo ndio upana unaoonyeshwa. Haya ni makadirio, si vipimo: pima Mac yako mwenyewe kwenye MLX Bench. Takwimu za modeli ni kutoka kwa kadi rasmi ya kila modeli, takwimu za chipu ni kutoka Tech Specs za Apple. Imekaguliwa 2026-10-19. Data ileile ya mlx.app/compare.