What Models?

Pick the right model for your GPU — in seconds.

What AI models can an M4 Pro (24–64 GB) run?

The M4 Pro has 64 GB of unified memory and 273 GB/s memory bandwidth. 71 models run well on it and 2 more are a tight fit.

Memory
Fine-tune for your setup (context, speed, system RAM, multiple GPUs) → Check price on Amazon

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Best for general use

Highest MMLU score among models that run well

  1. Qwen3 Next 80B-A3B Q4_K_M 256K context · ~97 tok/s · MMLU 90
  2. Qwen3.6 27B Q8_0 256K context · ~9 tok/s · MMLU 86.2
  3. Qwen 2.5 72B Q4_K_M 54K context · ~6 tok/s · MMLU 86.1

Best for coding

Highest SWE-bench Verified score among models that run well

  1. Qwen3.8 27B Q8_0 256K context · ~10 tok/s · SWE-bench 86
  2. Ornith 1.5 35B A3B Q8_0 256K context · ~69 tok/s · SWE-bench 79
  3. Qwen3.6 27B Q8_0 256K context · ~9 tok/s · SWE-bench 77.2

Upgrade options

The cheapest GPUs with more VRAM than the M4 Pro, by launch MSRP.

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Every model on the M4 Pro (64 GB)

143 of 200 model configurations can run on 64 GB — sorted by quality

100 models, each counted once by the best way it runs on your hardware.

Largest that runs well Qwen3 Next 80B-A3B 80B params · Q4_K_M · 256K context
Fastest good-quality model Qwen3.5 35B A3B ~99 tok/s · Q4_K_M · 256K context
? MMLU (Massive Multitask Language Understanding) measures general knowledge across 57 subjects. Higher = more capable. Sorted best-first.

Runs well 71

  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M
    Context 256K Speed ~97 tok/s

    MoE — speed based on ~1.81 GB active experts (full 48.4 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 84.8 GB
  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~9 tok/s
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s

Runs well 71

  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M
    Context 256K Speed ~97 tok/s

    MoE — speed based on ~1.81 GB active experts (full 48.4 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 84.8 GB
  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~9 tok/s
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s
  • Qwen 2.5 72B 72.7B Excellent Tool use
    MMLU 86.1
    Q4_K_M
    Context 54K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 77.6 GB
  • Qwen 2.5 VL 72B 72.7B Excellent VisionTool use
    MMLU 86.1
    Q4_K_M
    Context 54K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 77.6 GB
  • Llama 3.3 70B 70.6B Excellent Tool use
    MMLU 86
    Q4_K_M
    Context 70K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 75.3 GB
  • Qwen3.5 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.3
    Q4_K_M
    Context 256K Speed ~99 tok/s

    MoE — speed based on ~1.76 GB active experts (full 20.5 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~69 tok/s

    MoE — speed based on ~2.95 GB active experts (full 34.37 GB loaded in VRAM)

  • Gemma 4 31B 31B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 256K Speed ~14 tok/s
    Q8_0
    Context 256K Speed ~9 tok/s
  • Qwen3.6 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 256K Speed ~93 tok/s

    MoE — speed based on ~1.92 GB active experts (full 22.4 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~65 tok/s

    MoE — speed based on ~3.18 GB active experts (full 37 GB loaded in VRAM)

  • Qwen3 32B 32.8B Excellent ReasoningTool use
    MMLU 85
    Q4_K_M
    Context 128K Speed ~13 tok/s
    Q8_0
    Context 119K Speed ~8 tok/s
  • Phi-4 14B 14.7B Excellent
    MMLU 84.8
    Q4_K_M
    Context 16K Speed ~27 tok/s
    Q8_0
    Context 16K Speed ~16 tok/s
  • Qwen3.8 27B 27.78B Excellent VisionTool useReasoning
    MMLU 84.3
    Q4_K_M
    Context 256K Speed ~17 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s
  • DeepSeek R1 Distill Llama 70B 70.6B Excellent Reasoning
    MMLU 84
    Q4_K_M
    Context 70K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 75.3 GB
  • Qwen 2.5 32B 32.5B Excellent Tool use
    MMLU 83.3
    Q4_K_M
    Context 128K Speed ~13 tok/s
    Q8_0
    Context 119K Speed ~8 tok/s
  • QwQ 32B 32.5B Excellent ReasoningTool use
    MMLU 83
    Q4_K_M
    Context 128K Speed ~13 tok/s
    Q8_0
    Context 119K Speed ~8 tok/s
  • Gemma 4 26B A4B 26B Great VisionTool useReasoning
    MMLU 82.6
    Q4_K_M
    Context 256K Speed ~79 tok/s

    MoE — speed based on ~2.44 GB active experts (full 15.87 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~56 tok/s

    MoE — speed based on ~3.85 GB active experts (full 25.02 GB loaded in VRAM)

  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 256K Speed ~43 tok/s
    Q8_0
    Context 256K Speed ~28 tok/s
  • GLM-4.7 Flash 31B Great ReasoningTool use
    MMLU 82
    Q4_K_M
    Context 128K Speed ~14 tok/s
    Q8_0
    Context 128K Speed ~8 tok/s
  • Magistral Small 24B 23.6B Great ReasoningVisionTool use
    MMLU 82
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~10 tok/s
  • Nemotron 3.5 Lightning 30B A3B 31.58B Great Tool useReasoning
    MMLU 81.94
    Q4_K_M
    Context 256K Speed ~84 tok/s

    MoE — speed based on ~2.25 GB active experts (full 23.73 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~67 tok/s

    MoE — speed based on ~3.1 GB active experts (full 32.6 GB loaded in VRAM)

  • Qwen3 Coder 30B-A3B 30.5B Great Tool use
    MMLU 81
    Q4_K_M
    Context 256K Speed ~96 tok/s

    MoE — speed based on ~1.83 GB active experts (full 18.6 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~65 tok/s

    MoE — speed based on ~3.2 GB active experts (full 32.5 GB loaded in VRAM)

  • Mistral Small 3.1 24B 23.6B Great VisionTool use
    MMLU 81
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~10 tok/s
  • DeepSeek R1 Distill Qwen 32B 32.5B Great Reasoning
    MMLU 80
    Q4_K_M
    Context 128K Speed ~13 tok/s
    Q8_0
    Context 119K Speed ~8 tok/s
  • Qwen 2.5 14B 14.7B Great Tool use
    MMLU 79.9
    Q4_K_M
    Context 128K Speed ~27 tok/s
    Q8_0
    Context 128K Speed ~16 tok/s
  • Nemotron Cascade 2 30B A3B 30B Great ReasoningTool use
    MMLU 79.8
    Q4_K_M
    Context 256K Speed ~83 tok/s

    MoE — speed based on ~2.3 GB active experts (full 23.03 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~66 tok/s

    MoE — speed based on ~3.13 GB active experts (full 31.28 GB loaded in VRAM)

  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~77 tok/s
    Q8_0
    Context 256K Speed ~53 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 128K Speed ~45 tok/s
    Q8_0
    Context 128K Speed ~28 tok/s
  • Qwen 2.5 Coder 32B 32.5B Great
    MMLU 79
    Q4_K_M
    Context 128K Speed ~13 tok/s
    Q8_0
    Context 119K Speed ~8 tok/s
  • Gemma 3 27B 27B Great Vision
    MMLU 78
    Q4_K_M
    Context 128K Speed ~16 tok/s
    Q8_0
    Context 128K Speed ~9 tok/s
  • Gemma 4 12B 11.96B Great VisionTool useReasoning
    MMLU 77.2
    Q4_K_M
    Context 256K Speed ~36 tok/s
    Q8_0
    Context 256K Speed ~21 tok/s
  • Nemotron Nano 12B 12.6B Great ReasoningTool use
    MMLU 76
    Q4_K_M
    Context 128K Speed ~33 tok/s
    Q8_0
    Context 128K Speed ~19 tok/s
  • GPT-OSS 20B 21B Great ReasoningTool use
    MMLU 75
    Q4_K_M
    Context 128K Speed ~22 tok/s
    Q8_0
    Context 128K Speed ~21 tok/s
  • Qwen 2.5 7B 7.62B Good Tool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~48 tok/s
    Q8_0
    Context 128K Speed ~30 tok/s
  • Qwen 2.5 VL 7B 7.62B Good VisionTool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~48 tok/s
    Q8_0
    Context 128K Speed ~30 tok/s
  • Gemma 3 12B 11.8B Good Vision
    MMLU 74
    Q4_K_M
    Context 128K Speed ~33 tok/s
    Q8_0
    Context 128K Speed ~20 tok/s
  • Qwen 2.5 Coder 14B 14.7B Good
    MMLU 74
    Q4_K_M
    Context 128K Speed ~27 tok/s
    Q8_0
    Context 128K Speed ~16 tok/s
  • Llama 3.2 Vision 11B 10.6B Good VisionTool use
    MMLU 73
    Q4_K_M
    Context 128K Speed ~39 tok/s
    Q8_0
    Context 128K Speed ~24 tok/s
  • DeepSeek R1 Distill Qwen 14B 14.7B Good Reasoning
    MMLU 72
    Q4_K_M
    Context 128K Speed ~27 tok/s
    Q8_0
    Context 128K Speed ~16 tok/s
  • Devstral Small 24B 23.6B Good Tool use
    MMLU 72
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~10 tok/s
  • Phi-3 Mini 3.8B 3.82B Good
    MMLU 70.9
    Q4_K_M
    Context 128K Speed ~81 tok/s
    Q8_0
    Context 128K Speed ~54 tok/s
  • Phi-4 Mini 3.8B 3.84B Good
    MMLU 70
    Q4_K_M
    Context 128K Speed ~78 tok/s
    Q8_0
    Context 128K Speed ~54 tok/s
  • Llama 3.1 8B 8.03B Good Tool use
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~46 tok/s
    Q8_0
    Context 128K Speed ~29 tok/s
    fp16
    Context 128K Speed ~16 tok/s
  • Gemma 4 E4B 4.5B Good VisionTool useReasoning
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~45 tok/s
    Q8_0
    Context 128K Speed ~32 tok/s
  • Mistral Nemo 12B 12.2B Good Tool use
    MMLU 68
    Q4_K_M
    Context 128K Speed ~32 tok/s
    Q8_0
    Context 128K Speed ~19 tok/s
  • Qwen 2.5 Coder 7B 7.62B Good
    MMLU 68
    Q4_K_M
    Context 128K Speed ~48 tok/s
    Q8_0
    Context 128K Speed ~30 tok/s
  • Qwen 2.5 VL 3B 3.09B Fair Vision
    MMLU 65.6
    Q4_K_M
    Context 128K Speed ~93 tok/s
    Q8_0
    Context 128K Speed ~64 tok/s
  • Qwen 2.5 3B 3.09B Fair Tool use
    MMLU 65.6
    Q4_K_M
    Context 32K Speed ~93 tok/s
    Q8_0
    Context 32K Speed ~64 tok/s
  • Ministral 8B 8.02B Fair Tool use
    MMLU 65
    Q4_K_M
    Context 128K Speed ~45 tok/s
    Q8_0
    Context 128K Speed ~29 tok/s
  • SmallThinker 3B 3.09B Fair Reasoning
    MMLU 65
    Q4_K_M
    Context 32K Speed ~93 tok/s
    Q8_0
    Context 32K Speed ~64 tok/s
  • Llama 3.2 3B 3.21B Fair Tool use
    MMLU 63.4
    Q4_K_M
    Context 128K Speed ~90 tok/s
    Q8_0
    Context 128K Speed ~62 tok/s
    fp16
    Context 128K Speed ~37 tok/s
  • Gemma 3 4B 3.88B Fair Vision
    MMLU 63
    Q4_K_M
    Context 128K Speed ~78 tok/s
    Q8_0
    Context 128K Speed ~53 tok/s
  • Codestral 22B 22.2B Fair
    MMLU 62
    Q4_K_M
    Context 32K Speed ~19 tok/s
    Q8_0
    Context 32K Speed ~11 tok/s
  • Gemma 4 E2B 2.3B Fair VisionTool useReasoning
    MMLU 60
    Q4_K_M
    Context 128K Speed ~65 tok/s
    Q8_0
    Context 128K Speed ~48 tok/s
  • DeepSeek R1 Distill Qwen 7B 7.62B Fair Reasoning
    MMLU 58
    Q4_K_M
    Context 128K Speed ~48 tok/s
    Q8_0
    Context 128K Speed ~30 tok/s
  • Qwen3.5 2B 2B Fair VisionTool useReasoning
    MMLU 55.3
    Q4_K_M
    Context 256K Speed ~125 tok/s
    Q8_0
    Context 256K Speed ~95 tok/s
  • StarCoder2 15B 15.6B Basic
    MMLU 51.4
    Q4_K_M
    Context 16K Speed ~25 tok/s
    Q8_0
    Context 16K Speed ~15 tok/s
  • DeepSeek Coder 6.7B 6.74B Basic
    MMLU 50
    Q4_K_M
    Context 16K Speed ~54 tok/s
    Q8_0
    Context 16K Speed ~33 tok/s
  • Llama 3.2 1B 1.24B Basic Tool use
    MMLU 49.3
    Q4_K_M
    Context 128K Speed ~151 tok/s
    Q8_0
    Context 128K Speed ~118 tok/s
  • Qwen3.5 0.8B 0.8B Basic VisionTool useReasoning
    MMLU 29.7
    Q4_K_M
    Context 256K Speed ~182 tok/s
    Q8_0
    Context 256K Speed ~155 tok/s
  • K2-Horizon 7B 9B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 429K Speed ~44 tok/s
    Q8_0
    Context 402K Speed ~28 tok/s
  • Nemotron 3 Nano 4B 3.97B Basic ReasoningTool use
    MMLU
    Q4_K_M
    Context 256K Speed ~72 tok/s
    Q8_0
    Context 256K Speed ~55 tok/s
  • Ornith 1.5 9B 9.65B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~43 tok/s
    Q8_0
    Context 256K Speed ~27 tok/s
  • Ornith 1.5 35B A3B 35.95B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~101 tok/s

    MoE — speed based on ~1.69 GB active experts (full 20.22 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~69 tok/s

    MoE — speed based on ~2.94 GB active experts (full 35.21 GB loaded in VRAM)

  • Laguna XS 2.1 33.44B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~100 tok/s

    MoE — speed based on ~1.72 GB active experts (full 19.14 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~69 tok/s

    MoE — speed based on ~2.97 GB active experts (full 33.15 GB loaded in VRAM)

  • Flint 40B A2.5B 39.79B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~110 tok/s

    MoE — speed based on ~1.48 GB active experts (full 23.61 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~78 tok/s

    MoE — speed based on ~2.48 GB active experts (full 39.44 GB loaded in VRAM)

  • MiniCPM-V 4.7 35B A3B 35.21B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~102 tok/s

    MoE — speed based on ~1.68 GB active experts (full 19.71 GB loaded in VRAM)

    Q8_0
    Context 256K Speed ~69 tok/s

    MoE — speed based on ~2.93 GB active experts (full 34.37 GB loaded in VRAM)

  • MiMo V2.6 Distill Qwen 9B 9.41B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~42 tok/s
    Q8_0
    Context 256K Speed ~28 tok/s
  • Muse Glimmer 30B 29.78B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~16 tok/s
    Q8_0
    Context 128K Speed ~10 tok/s
  • LFM2.5 2.6B 2.7B Basic Tool use
    MMLU
    Q4_K_M
    Context 128K Speed ~107 tok/s
    Q8_0
    Context 128K Speed ~74 tok/s
  • LFM2.5 24B A2B 23.97B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~115 tok/s

    MoE — speed based on ~1.38 GB active experts (full 13.53 GB loaded in VRAM)

    Q8_0
    Context 128K Speed ~80 tok/s

    MoE — speed based on ~2.43 GB active experts (full 23.74 GB loaded in VRAM)

  • Nemotron 3.5 Bolt E4B 8B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 64K Speed ~40 tok/s
    Q8_0
    Context 64K Speed ~32 tok/s

Tight fit 2

  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~15 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~9 tok/s

    Only 8K context — under the 16K needed to be practical

  • Gemma 2 9B 9.24B Good
    MMLU 71.3
    Q4_K_M
    Context 8K Speed ~40 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~25 tok/s

    Only 8K context — under the 16K needed to be practical

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Doesn't fit 27

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 345.3 GB over
    Q8_0 Needs 713.4 GB — 649.4 GB over
  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 566.1 GB over
    Q8_0 Needs 1090.1 GB — 1026.1 GB over
  • Mistral Small 4 119B Excellent VisionTool use
    MMLU 88.5
    Q4_K_M Needs 73.2 GB — 9.2 GB over
    Q8_0 Needs 127.0 GB — 63.0 GB over
    GPUs that can run this

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Doesn't fit 27

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 345.3 GB over
    Q8_0 Needs 713.4 GB — 649.4 GB over
  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 566.1 GB over
    Q8_0 Needs 1090.1 GB — 1026.1 GB over
  • Mistral Small 4 119B Excellent VisionTool use
    MMLU 88.5
    Q4_K_M Needs 73.2 GB — 9.2 GB over
    Q8_0 Needs 127.0 GB — 63.0 GB over
    GPUs that can run this

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  • MiniMax M2.1 229B Excellent ReasoningTool use
    MMLU 88
    Q4_K_M Needs 138.1 GB — 74.1 GB over
    Q8_0 Needs 243.1 GB — 179.1 GB over
  • DeepSeek V4 Pro 1600B Excellent Tool useReasoning
    MMLU 87.5
    Q4_K_M Needs 900.1 GB — 836.1 GB over
    Q8_0 Needs 1670.1 GB — 1606.1 GB over
  • Qwen3.5 397B A17B 397B Excellent VisionTool useReasoning
    MMLU 87
    Q4_K_M Needs 227.4 GB — 163.4 GB over
    Q8_0 Needs 392.6 GB — 328.6 GB over
  • GLM-4.6 357B Excellent ReasoningTool use
    MMLU 87
    Q4_K_M Needs 216.1 GB — 152.1 GB over
    Q8_0 Needs 379.1 GB — 315.1 GB over
  • GLM 5.1 754B Excellent Tool use
    MMLU 86.9
    Q4_K_M Needs 459.8 GB — 395.8 GB over
    Q8_0 Needs 801.4 GB — 737.4 GB over
  • DeepSeek V4 Flash 284B Excellent Tool useReasoning
    MMLU 86.4
    Q4_K_M Needs 161.1 GB — 97.1 GB over
    Q8_0 Needs 282.1 GB — 218.1 GB over
  • Llama 4 Maverick 400B Excellent VisionTool use
    MMLU 85.5
    Q4_K_M Needs 243.2 GB — 179.2 GB over
    Q8_0 Needs 426.2 GB — 362.2 GB over
  • Qwen3.5 122B A10B 122B Excellent VisionTool useReasoning
    MMLU 85
    Q4_K_M Needs 71.3 GB — 7.3 GB over
    Q8_0 Needs 121.0 GB — 57.0 GB over
    GPUs that can run this

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  • Step 3.5 Flash 197B Excellent ReasoningTool use
    MMLU 84
    Q4_K_M Needs 119.2 GB — 55.2 GB over
    Q8_0 Needs 209.2 GB — 145.2 GB over
    GPUs that can run this

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  • GLM 5 753.86B Excellent Tool use
    MMLU 83
    Q4_K_M Needs 424.7 GB — 360.7 GB over
    Q8_0 Needs 746.4 GB — 682.4 GB over
  • MiniMax M2.5 228.7B Great ReasoningTool use
    MMLU 82
    Q4_K_M Needs 129.1 GB — 65.1 GB over
    Q8_0 Needs 226.7 GB — 162.7 GB over
  • Llama 4 Scout 109B Great VisionTool use
    MMLU 79.6
    Q4_K_M Needs 65.6 GB — 1.6 GB over
    Q8_0 Needs 115.2 GB — 51.2 GB over
    GPUs that can run this

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  • Qwen3.8 Flash Next 180B Good VisionTool useReasoning
    MMLU 73.23
    Q4_K_M Needs 111.4 GB — 47.4 GB over
    Q8_0 Needs 175.4 GB — 111.4 GB over
    GPUs that can run this

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  • Mistral Large 3 675B 673.42B Good VisionTool useReasoning
    MMLU 73.11
    Q4_K_M Needs 379.1 GB — 315.1 GB over
    Q8_0 Needs 666.6 GB — 602.6 GB over
  • Muse Spark Open 816B A42B 822.04B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 465.3 GB — 401.3 GB over
    Q8_0 Needs 811.9 GB — 747.9 GB over
  • GLM 5.3 753.33B Basic Tool useReasoning
    MMLU
    Q8_0 Needs 746.4 GB — 682.4 GB over
  • Beam 1.0 501B A23B 501.27B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 293.0 GB — 229.0 GB over
    Q8_0 Needs 496.2 GB — 432.2 GB over
  • Ornith 1.5 397B 403.4B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 227.6 GB — 163.6 GB over
    Q8_0 Needs 399.1 GB — 335.1 GB over
  • MiMo V2.5 310B Basic Reasoning
    MMLU
    Q4_K_M Needs 188.9 GB — 124.9 GB over
    Q8_0 Needs 329.4 GB — 265.4 GB over
  • GLM 5.3 Flash 321.32B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 176.0 GB — 112.0 GB over
    Q8_0 Needs 310.4 GB — 246.4 GB over
  • Step 3.7 Flash 198B Basic VisionTool useReasoning
    MMLU
    Q4_K_S Needs 104.0 GB — 40.0 GB over
    Q8_0 Needs 195.2 GB — 131.2 GB over
    GPUs that can run this

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  • Ornith 1.5 122B 125.09B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 70.7 GB — 6.7 GB over
    Q8_0 Needs 123.5 GB — 59.5 GB over
    GPUs that can run this

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  • Nemotron 3.5 Super VL 120B A12B 124.45B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 65.3 GB — 1.3 GB over
    Q8_0 Needs 119.7 GB — 55.7 GB over
    GPUs that can run this

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  • Nemotron 3.5 Bolt 74B A9B 74.89B Basic VisionTool useReasoning
    MMLU
    Q8_0 Needs 73.4 GB — 9.4 GB over
    GPUs that can run this

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