What Models?

Pick the right model for your GPU — in seconds.

What AI models can an M2 (8–24 GB) run?

The M2 has 24 GB of unified memory and 100 GB/s memory bandwidth. 65 models run well on it and 3 more are a tight fit.

Memory
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Best for general use

Highest MMLU score among models that run well

  1. Qwen3.6 27B Q4_K_M 117K context · ~6 tok/s · MMLU 86.2
  2. Qwen3.5 27B Q4_K_M 137K context · ~6 tok/s · MMLU 86.1
  3. Qwen3.5 35B A3B Q4_K_M 184K context · ~36 tok/s · MMLU 85.3

Best for coding

Highest SWE-bench Verified score among models that run well

  1. Qwen3.8 27B Q4_K_M 142K context · ~6 tok/s · SWE-bench 86
  2. Ornith 1.5 35B A3B Q4_K_M 198K context · ~37 tok/s · SWE-bench 79
  3. Qwen3.6 27B Q4_K_M 117K context · ~6 tok/s · SWE-bench 77.2

Upgrade options

The cheapest GPUs with more VRAM than the M2, by launch MSRP.

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Every model on the M2 (24 GB)

112 of 200 model configurations can run on 24 GB — sorted by quality

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

Largest that runs well Ornith 1.5 35B A3B 35.95B params · Q4_K_M · 198K context
Fastest good-quality model Qwen3.5 35B A3B ~36 tok/s · Q4_K_M · 184K context
? MMLU (Massive Multitask Language Understanding) measures general knowledge across 57 subjects. Higher = more capable. Sorted best-first.

Runs well 65

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 117K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 28.1 GB
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 137K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 26.7 GB
  • Qwen3.5 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.3
    Q4_K_M
    Context 184K Speed ~36 tok/s

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

    Q8_0 Doesn't fit · needs 34.4 GB

Runs well 65

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 117K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 28.1 GB
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 137K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 26.7 GB
  • Qwen3.5 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.3
    Q4_K_M
    Context 184K Speed ~36 tok/s

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

    Q8_0 Doesn't fit · needs 34.4 GB
  • Qwen3.6 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 160K Speed ~34 tok/s

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

    Q8_0 Doesn't fit · needs 37.0 GB
  • Gemma 4 31B 31B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 75K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 30.5 GB
  • Qwen3 32B 32.8B Excellent ReasoningTool use
    MMLU 85
    Q4_K_M
    Context 17K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 35.0 GB
  • Phi-4 14B 14.7B Excellent
    MMLU 84.8
    Q4_K_M
    Context 16K Speed ~10 tok/s
    Q8_0
    Context 16K Speed ~6 tok/s
  • Qwen3.8 27B 27.78B Excellent VisionTool useReasoning
    MMLU 84.3
    Q4_K_M
    Context 142K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 27.1 GB
  • Qwen 2.5 32B 32.5B Excellent Tool use
    MMLU 83.3
    Q4_K_M
    Context 17K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 35.1 GB
  • QwQ 32B 32.5B Excellent ReasoningTool use
    MMLU 83
    Q4_K_M
    Context 16K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 35.1 GB
  • Gemma 4 26B A4B 26B Great VisionTool useReasoning
    MMLU 82.6
    Q4_K_M
    Context 256K Speed ~29 tok/s

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

    Q8_0 Doesn't fit · needs 25.0 GB
  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s
  • GLM-4.7 Flash 31B Great ReasoningTool use
    MMLU 82
    Q4_K_M
    Context 113K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 31.9 GB
  • Magistral Small 24B 23.6B Great ReasoningVisionTool use
    MMLU 82
    Q4_K_M
    Context 63K Speed ~7 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • Nemotron 3.5 Lightning 30B A3B 31.58B Great Tool useReasoning
    MMLU 81.94
    Q4_K_M
    Context 44K Speed ~31 tok/s

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

    Q8_0 Doesn't fit · needs 32.6 GB
  • Mistral Small 3.1 24B 23.6B Great VisionTool use
    MMLU 81
    Q4_K_M
    Context 63K Speed ~7 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • Qwen3 Coder 30B-A3B 30.5B Great Tool use
    MMLU 81
    Q4_K_M
    Context 58K Speed ~35 tok/s

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

    Q8_0 Doesn't fit · needs 32.6 GB
  • DeepSeek R1 Distill Qwen 32B 32.5B Great Reasoning
    MMLU 80
    Q4_K_M
    Context 17K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 35.1 GB
  • Qwen 2.5 14B 14.7B Great Tool use
    MMLU 79.9
    Q4_K_M
    Context 82K Speed ~10 tok/s
    Q8_0
    Context 45K Speed ~6 tok/s
  • Nemotron Cascade 2 30B A3B 30B Great ReasoningTool use
    MMLU 79.8
    Q4_K_M
    Context 161K Speed ~30 tok/s

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

    Q8_0 Doesn't fit · needs 31.3 GB
  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~28 tok/s
    Q8_0
    Context 256K Speed ~19 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 128K Speed ~17 tok/s
    Q8_0
    Context 111K Speed ~10 tok/s
  • Qwen 2.5 Coder 32B 32.5B Great
    MMLU 79
    Q4_K_M
    Context 17K Speed ~5 tok/s
    Q8_0 Doesn't fit · needs 35.1 GB
  • Gemma 3 27B 27B Great Vision
    MMLU 78
    Q4_K_M
    Context 98K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 28.8 GB
  • Gemma 4 12B 11.96B Great VisionTool useReasoning
    MMLU 77.2
    Q4_K_M
    Context 256K Speed ~13 tok/s
    Q8_0
    Context 256K Speed ~8 tok/s
  • Nemotron Nano 12B 12.6B Great ReasoningTool use
    MMLU 76
    Q4_K_M
    Context 128K Speed ~12 tok/s
    Q8_0
    Context 128K Speed ~7 tok/s
  • GPT-OSS 20B 21B Great ReasoningTool use
    MMLU 75
    Q4_K_M
    Context 128K Speed ~8 tok/s
    Q8_0
    Context 128K Speed ~8 tok/s
  • Qwen 2.5 7B 7.62B Good Tool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~11 tok/s
  • Qwen 2.5 VL 7B 7.62B Good VisionTool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~11 tok/s
  • Gemma 3 12B 11.8B Good Vision
    MMLU 74
    Q4_K_M
    Context 128K Speed ~12 tok/s
    Q8_0
    Context 128K Speed ~7 tok/s
  • Qwen 2.5 Coder 14B 14.7B Good
    MMLU 74
    Q4_K_M
    Context 82K Speed ~10 tok/s
    Q8_0
    Context 45K Speed ~6 tok/s
  • Llama 3.2 Vision 11B 10.6B Good VisionTool use
    MMLU 73
    Q4_K_M
    Context 128K Speed ~14 tok/s
    Q8_0
    Context 111K Speed ~9 tok/s
  • DeepSeek R1 Distill Qwen 14B 14.7B Good Reasoning
    MMLU 72
    Q4_K_M
    Context 82K Speed ~10 tok/s
    Q8_0
    Context 45K Speed ~6 tok/s
  • Devstral Small 24B 23.6B Good Tool use
    MMLU 72
    Q4_K_M
    Context 63K Speed ~7 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • Phi-3 Mini 3.8B 3.82B Good
    MMLU 70.9
    Q4_K_M
    Context 59K Speed ~29 tok/s
    Q8_0
    Context 54K Speed ~20 tok/s
  • Phi-4 Mini 3.8B 3.84B Good
    MMLU 70
    Q4_K_M
    Context 128K Speed ~29 tok/s
    Q8_0
    Context 128K Speed ~20 tok/s
  • Llama 3.1 8B 8.03B Good Tool use
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~17 tok/s
    Q8_0
    Context 126K Speed ~10 tok/s
    fp16
    Context 65K Speed ~6 tok/s
  • Gemma 4 E4B 4.5B Good VisionTool useReasoning
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~17 tok/s
    Q8_0
    Context 128K Speed ~12 tok/s
  • Qwen 2.5 Coder 7B 7.62B Good
    MMLU 68
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~11 tok/s
  • Mistral Nemo 12B 12.2B Good Tool use
    MMLU 68
    Q4_K_M
    Context 85K Speed ~12 tok/s
    Q8_0
    Context 57K Speed ~7 tok/s
  • Qwen 2.5 VL 3B 3.09B Fair Vision
    MMLU 65.6
    Q4_K_M
    Context 128K Speed ~34 tok/s
    Q8_0
    Context 128K Speed ~23 tok/s
  • Qwen 2.5 3B 3.09B Fair Tool use
    MMLU 65.6
    Q4_K_M
    Context 32K Speed ~34 tok/s
    Q8_0
    Context 32K Speed ~23 tok/s
  • Ministral 8B 8.02B Fair Tool use
    MMLU 65
    Q4_K_M
    Context 128K Speed ~16 tok/s
    Q8_0
    Context 112K Speed ~10 tok/s
  • SmallThinker 3B 3.09B Fair Reasoning
    MMLU 65
    Q4_K_M
    Context 32K Speed ~34 tok/s
    Q8_0
    Context 32K Speed ~23 tok/s
  • Llama 3.2 3B 3.21B Fair Tool use
    MMLU 63.4
    Q4_K_M
    Context 128K Speed ~33 tok/s
    Q8_0
    Context 128K Speed ~23 tok/s
    fp16
    Context 128K Speed ~13 tok/s
  • Gemma 3 4B 3.88B Fair Vision
    MMLU 63
    Q4_K_M
    Context 128K Speed ~29 tok/s
    Q8_0
    Context 128K Speed ~19 tok/s
  • Codestral 22B 22.2B Fair
    MMLU 62
    Q4_K_M
    Context 32K Speed ~7 tok/s
    Q8_0 Tight fit · 1K context
  • Gemma 4 E2B 2.3B Fair VisionTool useReasoning
    MMLU 60
    Q4_K_M
    Context 128K Speed ~24 tok/s
    Q8_0
    Context 128K Speed ~18 tok/s
  • DeepSeek R1 Distill Qwen 7B 7.62B Fair Reasoning
    MMLU 58
    Q4_K_M
    Context 128K Speed ~18 tok/s
    Q8_0
    Context 128K Speed ~11 tok/s
  • Qwen3.5 2B 2B Fair VisionTool useReasoning
    MMLU 55.3
    Q4_K_M
    Context 256K Speed ~46 tok/s
    Q8_0
    Context 256K Speed ~35 tok/s
  • StarCoder2 15B 15.6B Basic
    MMLU 51.4
    Q4_K_M
    Context 16K Speed ~9 tok/s
    Q8_0
    Context 16K Speed ~6 tok/s
  • DeepSeek Coder 6.7B 6.74B Basic
    MMLU 50
    Q4_K_M
    Context 16K Speed ~20 tok/s
    Q8_0
    Context 16K Speed ~12 tok/s
  • Llama 3.2 1B 1.24B Basic Tool use
    MMLU 49.3
    Q4_K_M
    Context 128K Speed ~55 tok/s
    Q8_0
    Context 128K Speed ~43 tok/s
  • Qwen3.5 0.8B 0.8B Basic VisionTool useReasoning
    MMLU 29.7
    Q4_K_M
    Context 256K Speed ~67 tok/s
    Q8_0
    Context 256K Speed ~57 tok/s
  • Nemotron 3 Nano 4B 3.97B Basic ReasoningTool use
    MMLU
    Q4_K_M
    Context 256K Speed ~27 tok/s
    Q8_0
    Context 256K Speed ~20 tok/s
  • Ornith 1.5 9B 9.65B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s
  • MiMo V2.6 Distill Qwen 9B 9.41B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~16 tok/s
    Q8_0
    Context 256K Speed ~10 tok/s
  • MiniCPM-V 4.7 35B A3B 35.21B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 225K Speed ~37 tok/s

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

    Q8_0 Doesn't fit · needs 34.4 GB
  • Ornith 1.5 35B A3B 35.95B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 198K Speed ~37 tok/s

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

    Q8_0 Doesn't fit · needs 35.2 GB
  • K2-Horizon 7B 9B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 137K Speed ~16 tok/s
    Q8_0
    Context 110K Speed ~10 tok/s
  • Muse Glimmer 30B 29.78B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~6 tok/s
    Q8_0 Doesn't fit · needs 27.6 GB
  • LFM2.5 2.6B 2.7B Basic Tool use
    MMLU
    Q4_K_M
    Context 128K Speed ~39 tok/s
    Q8_0
    Context 128K Speed ~27 tok/s
  • LFM2.5 24B A2B 23.97B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~42 tok/s

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

    Q8_0 Tight fit · 13K context
  • Laguna XS 2.1 33.44B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 127K Speed ~37 tok/s

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

    Q8_0 Doesn't fit · needs 33.2 GB
  • Nemotron 3.5 Bolt E4B 8B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 64K Speed ~15 tok/s
    Q8_0
    Context 64K Speed ~12 tok/s

Tight fit 3

  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~6 tok/s

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

    Q8_0 Doesn't fit · needs 29.3 GB
  • Gemma 2 9B 9.24B Good
    MMLU 71.3
    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

  • Flint 40B A2.5B 39.79B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 14K Speed ~40 tok/s

    Only 14K context — under the 16K needed to be practical

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

    Q8_0 Doesn't fit · needs 39.5 GB
    GPUs that can run this

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Doesn't fit 32

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 385.3 GB over
    Q8_0 Needs 713.4 GB — 689.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 24.4 GB over
    Q8_0 Needs 84.8 GB — 60.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 606.1 GB over
    Q8_0 Needs 1090.1 GB — 1066.1 GB over

Doesn't fit 32

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 385.3 GB over
    Q8_0 Needs 713.4 GB — 689.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 24.4 GB over
    Q8_0 Needs 84.8 GB — 60.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 606.1 GB over
    Q8_0 Needs 1090.1 GB — 1066.1 GB over
  • Mistral Small 4 119B Excellent VisionTool use
    MMLU 88.5
    Q4_K_M Needs 73.2 GB — 49.2 GB over
    Q8_0 Needs 127.0 GB — 103.0 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 — 114.1 GB over
    Q8_0 Needs 243.1 GB — 219.1 GB over
  • DeepSeek V4 Pro 1600B Excellent Tool useReasoning
    MMLU 87.5
    Q4_K_M Needs 900.1 GB — 876.1 GB over
    Q8_0 Needs 1670.1 GB — 1646.1 GB over
  • Qwen3.5 397B A17B 397B Excellent VisionTool useReasoning
    MMLU 87
    Q4_K_M Needs 227.4 GB — 203.4 GB over
    Q8_0 Needs 392.6 GB — 368.6 GB over
  • GLM-4.6 357B Excellent ReasoningTool use
    MMLU 87
    Q4_K_M Needs 216.1 GB — 192.1 GB over
    Q8_0 Needs 379.1 GB — 355.1 GB over
  • GLM 5.1 754B Excellent Tool use
    MMLU 86.9
    Q4_K_M Needs 459.8 GB — 435.8 GB over
    Q8_0 Needs 801.4 GB — 777.4 GB over
  • DeepSeek V4 Flash 284B Excellent Tool useReasoning
    MMLU 86.4
    Q4_K_M Needs 161.1 GB — 137.1 GB over
    Q8_0 Needs 282.1 GB — 258.1 GB over
  • Qwen 2.5 VL 72B 72.7B Excellent VisionTool use
    MMLU 86.1
    Q4_K_M Needs 47.7 GB — 23.7 GB over
    Q8_0 Needs 77.6 GB — 53.6 GB over
    GPUs that can run this

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  • Qwen 2.5 72B 72.7B Excellent Tool use
    MMLU 86.1
    Q4_K_M Needs 47.7 GB — 23.7 GB over
    Q8_0 Needs 77.6 GB — 53.6 GB over
    GPUs that can run this

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  • Llama 3.3 70B 70.6B Excellent Tool use
    MMLU 86
    Q4_K_M Needs 42.8 GB — 18.8 GB over
    Q8_0 Needs 75.3 GB — 51.3 GB over
    GPUs that can run this

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  • Llama 4 Maverick 400B Excellent VisionTool use
    MMLU 85.5
    Q4_K_M Needs 243.2 GB — 219.2 GB over
    Q8_0 Needs 426.2 GB — 402.2 GB over
  • Qwen3.5 122B A10B 122B Excellent VisionTool useReasoning
    MMLU 85
    Q4_K_M Needs 71.3 GB — 47.3 GB over
    Q8_0 Needs 121.0 GB — 97.0 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 — 95.2 GB over
    Q8_0 Needs 209.2 GB — 185.2 GB over
    GPUs that can run this

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  • DeepSeek R1 Distill Llama 70B 70.6B Excellent Reasoning
    MMLU 84
    Q4_K_M Needs 42.8 GB — 18.8 GB over
    Q8_0 Needs 75.3 GB — 51.3 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 — 400.7 GB over
    Q8_0 Needs 746.4 GB — 722.4 GB over
  • MiniMax M2.5 228.7B Great ReasoningTool use
    MMLU 82
    Q4_K_M Needs 129.1 GB — 105.1 GB over
    Q8_0 Needs 226.7 GB — 202.7 GB over
  • Llama 4 Scout 109B Great VisionTool use
    MMLU 79.6
    Q4_K_M Needs 65.6 GB — 41.6 GB over
    Q8_0 Needs 115.2 GB — 91.2 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 — 87.4 GB over
    Q8_0 Needs 175.4 GB — 151.4 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 — 355.1 GB over
    Q8_0 Needs 666.6 GB — 642.6 GB over
  • Muse Spark Open 816B A42B 822.04B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 465.3 GB — 441.3 GB over
    Q8_0 Needs 811.9 GB — 787.9 GB over
  • GLM 5.3 753.33B Basic Tool useReasoning
    MMLU
    Q8_0 Needs 746.4 GB — 722.4 GB over
  • Beam 1.0 501B A23B 501.27B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 293.0 GB — 269.0 GB over
    Q8_0 Needs 496.2 GB — 472.2 GB over
  • Ornith 1.5 397B 403.4B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 227.6 GB — 203.6 GB over
    Q8_0 Needs 399.1 GB — 375.1 GB over
  • MiMo V2.5 310B Basic Reasoning
    MMLU
    Q4_K_M Needs 188.9 GB — 164.9 GB over
    Q8_0 Needs 329.4 GB — 305.4 GB over
  • GLM 5.3 Flash 321.32B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 176.0 GB — 152.0 GB over
    Q8_0 Needs 310.4 GB — 286.4 GB over
  • Step 3.7 Flash 198B Basic VisionTool useReasoning
    MMLU
    Q4_K_S Needs 104.0 GB — 80.0 GB over
    Q8_0 Needs 195.2 GB — 171.2 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 — 46.7 GB over
    Q8_0 Needs 123.5 GB — 99.5 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 — 41.3 GB over
    Q8_0 Needs 119.7 GB — 95.7 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 — 49.4 GB over
    GPUs that can run this

    As an Amazon Associate, I earn from qualifying purchases.