AImodelsComparison.com 1,213 open · 210 API
Menu
Models Best of Trending Can I run it? Methodology MCP server About
1,423 models · 1,213 open weights · 210 API-only · refreshed nightly

Models that run on Mac M4 Max · 64 GB

Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

Type
All 1,423 Open weights (self-host) 1,213 API-only 210
Task
All text-generation 735 text-to-image 165 image-text-to-text 110 ASR 82 sentence-similarity 63 text-classification 50 translation 50 feature-extraction 46 image-classification 41 text-to-speech 23 token-classification 22 summarization 9 audio-classification 9 image-segmentation 9 object-detection 7 audio-text-to-text 1 any-to-any 1
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
871 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
351 nomic-embed-text-v1.5-GGUF nomic-ai · sentence-similarity Open weights 140 M 2 K ✓ apache-2.0 587 K 0.6 GB
352 Sage-A1.5-Q4_K_M-GGUF InternScience · text-generation Open weights — — ✓ apache-2.0 586 K 1.5 GB
353 Juggernaut-XL-v9 RunDiffusion · text-to-image Open weights — — ⚠ creativeml-openrail-m 579 K 15.9 GB
354 Qwen3.8-4B-Distill-GGUF empero-ai · text-generation Open weights — — ✓ apache-2.0 579 K 3.6 GB
355 efficientnet_b0.ra_in1k timm · image-classification Open weights 10 M — ✓ apache-2.0 576 K 0.5 GB
356 bert-base-multilingual-uncased-sentiment nlptown · text-classification Open weights 170 M 512 ✓ mit 571 K 1.3 GB
357 gte-large thenlper · sentence-similarity Open weights 340 M 512 ✓ mit 570 K 1.3 GB
358 plamo-embedding-1b pfnet · sentence-similarity Open weights 1.1 B 4 K ✓ apache-2.0 567 K 3.0 GB
359 nemotron-3.5-asr-streaming-0.6b nvidia · ASR Open weights 640 M — other 560 K 1.4 GB
360 sanoTTS ampixa · text-to-speech Open weights — — gpl-3.0 559 K 0.5 GB
361 Spark-X2.5-4B-Heretic-jp-gguf soyaakinohara · text-generation Open weights 4.0 B — ✓ apache-2.0 556 K 4.0 GB
362 Qwen-Image-2.1 unsloth · text-to-image Open weights 7.1 B — other 553 K 38.0 GB
363 Qwen3-8B-Base Qwen · text-generation Open weights 8.2 B 33 K ✓ apache-2.0 550 K 19.7 GB
364 Qwen2.5-1.5B Qwen · text-generation Open weights 1.5 B 131 K ✓ apache-2.0 541 K 4.1 GB
365 Qwen3.8-9B-Distill-GGUF empero-ai · text-generation Open weights — — ✓ apache-2.0 540 K 6.9 GB
366 parakeet-tdt-0.6b-v3 nvidia · ASR Open weights 630 M — ✓ cc-by-4.0 540 K 1.4 GB
367 Llama-3.2-3B-Instruct unsloth · text-generation Open weights 3.2 B 131 K ⚠ llama3.2 536 K 8.0 GB
368 whisper-tiny Xenova · ASR Open weights 40 M — ✓ apache-2.0 534 K 0.6 GB
369 Qwen3.8-27B-OBLITERATED OBLITERATUS · text-generation Open weights 27.8 B — ✓ apache-2.0 533 K 5.7 GB
370 Qwen3-4B-GGUF unsloth · text-generation Open weights — 41 K ✓ apache-2.0 532 K 2.3 GB
371 snowflake-arctic-embed-xs Snowflake · sentence-similarity Open weights 20 M 512 unknown 531 K 0.6 GB
372 embeddinggemma-2-ONNX onnx-community · feature-extraction Open weights 744 M — ✓ apache-2.0 531 K 2.2 GB
373 msmarco-bert-base-dot-v5 sentence-transformers · sentence-similarity Open weights 110 M 512 unknown 528 K 1.0 GB
374 granite-4.1-3b ibm-granite · text-generation Open weights 3.4 B 131 K ✓ apache-2.0 524 K 8.5 GB
375 Qwen3-ASR-0.6B-hf Qwen · ASR Open weights 782 M — ✓ apache-2.0 524 K 2.3 GB
376 bert-base-turkish-cased-mean-nli-stsb-tr emrecan · sentence-similarity Open weights 110 M 512 ✓ apache-2.0 523 K 1.0 GB
377 deberta-v3-base-prompt-injection-v2 protectai · text-classification Open weights 180 M 512 ✓ apache-2.0 521 K 1.3 GB
378 japanese-gpt-neox-small rinna · text-generation Open weights 200 M 2 K ✓ mit 520 K 1.3 GB
379 snowflake-arctic-embed-l Snowflake · sentence-similarity Open weights 334 M 512 ✓ apache-2.0 519 K 2.0 GB
380 Ornith-1.5-9B ornith-ai · text-generation Open weights 9.7 B — ✓ mit 518 K 23.2 GB
381 Qwen3-VL-Embedding-2B Qwen · sentence-similarity Open weights 2.1 B — ✓ apache-2.0 517 K 5.5 GB
382 jina-embeddings-v5-text-nano jinaai · feature-extraction Open weights 210 M 8 K ✗ cc-by-nc-4.0 515 K 1.1 GB
383 langcache-embed-v1 redis · sentence-similarity Open weights 149 M 8 K unknown 514 K 1.2 GB
384 Pruna-Qage-2.1 PrunaAI · text-to-image Open weights 7.1 B — other 514 K 2.3 GB
385 Pruna-Qwen-Image-2.1 PrunaAI · text-to-image Open weights 7.1 B — other 513 K 2.3 GB
386 Qwen3.8-2B-Distill-GGUF empero-ai · text-generation Open weights — — ✓ apache-2.0 510 K 1.9 GB
387 Pruna-Q-Image-2.1 PrunaAI · text-to-image Open weights 7.1 B — other 510 K 2.3 GB
388 deepset-mxbai-embed-de-large-v1 mixedbread-ai · feature-extraction Open weights 487 M 512 ✓ apache-2.0 504 K 1.6 GB
389 POCKET-35B-GGUF FINAL-Bench · text-generation Open weights 35.0 B — ✓ apache-2.0 504 K 14.8 GB
390 Drama-3-GGUF Jmica · text-to-speech Open weights — — other 496 K 19.3 GB
391 snowflake-arctic-embed-s Snowflake · sentence-similarity Open weights 30 M 512 ✓ apache-2.0 496 K 0.7 GB
392 Qwen2.5-1.5B-Instruct-GGUF Qwen · text-generation Open weights — — ✓ apache-2.0 494 K 1.3 GB
393 Sage-A1.5-Q8_0-GGUF InternScience · text-generation Open weights — — ✓ apache-2.0 490 K 1.5 GB
394 Qwen2.5-32B-Instruct-GPTQ-Int4 Qwen · text-generation Open weights 32.8 B 33 K ✓ apache-2.0 487 K 26.7 GB
395 Qwen3-Coder-30B-A3B-Instruct-GGUF unsloth · text-generation Open weights — — ✓ apache-2.0 486 K 12.9 GB
396 Voxtral-Mini-4B-Realtime-2602-gguf handy-computer · ASR Open weights 4.0 B — ✓ apache-2.0 485 K 4.2 GB
397 stable-diffusion-v1-4 CompVis · text-to-image Open weights 860 M — ⚠ creativeml-openrail-m 483 K 13.5 GB
398 Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Qwen · text-generation Open weights 7.6 B 33 K ✓ apache-2.0 482 K 7.8 GB
399 Qwen3.8-27B-DFlash2-GGUF z-lab · text-generation Open weights — — ✓ apache-2.0 481 K 1.8 GB
400 NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF unsloth · text-generation Open weights 4.0 B — other 481 K 5.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.