What Models?

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What AI models can an RTX 2080 Ti (11 GB) run?

The GeForce RTX 2080 Ti has 11 GB of VRAM and 616 GB/s memory bandwidth. 32 models run well on it and 7 more are a tight fit.

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. Qwen3.5 9B Q8_0 68K context · ~62 tok/s · MMLU 82.5
  2. Qwen3.5 4B Q8_0 220K context · ~119 tok/s · MMLU 79.1
  3. Qwen3 8B Q8_0 16K context · ~63 tok/s · MMLU 79

Best for coding

Highest SWE-bench Verified score among models that run well

  1. K2-Horizon 7B Q4_K_M 42K context · ~99 tok/s · SWE-bench 70.6
  2. Ornith 1.5 9B Q8_0 60K context · ~61 tok/s · SWE-bench 70.6
  3. MiMo V2.6 Distill Qwen 9B Q8_0 68K context · ~62 tok/s · SWE-bench 61.1

Upgrade options

The cheapest GPUs with more VRAM than the RTX 2080 Ti, by launch MSRP.

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Every model on the RTX 2080 Ti

70 of 200 model configurations can run on 11 GB — sorted by quality

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

Largest that runs well Nemotron Nano 12B 12.6B params · Q4_K_M · 128K context
Fastest good-quality model Phi-3 Mini 3.8B ~182 tok/s · Q4_K_M · 23K context
? MMLU (Massive Multitask Language Understanding) measures general knowledge across 57 subjects. Higher = more capable. Sorted best-first.

Runs well 32

  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 184K Speed ~98 tok/s
    Q8_0
    Context 68K Speed ~62 tok/s
  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~174 tok/s
    Q8_0
    Context 220K Speed ~119 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 43K Speed ~102 tok/s
    Q8_0
    Context 16K Speed ~63 tok/s

Runs well 32

  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 184K Speed ~98 tok/s
    Q8_0
    Context 68K Speed ~62 tok/s
  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~174 tok/s
    Q8_0
    Context 220K Speed ~119 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 43K Speed ~102 tok/s
    Q8_0
    Context 16K Speed ~63 tok/s
  • Gemma 4 12B 11.96B Great VisionTool useReasoning
    MMLU 77.2
    Q4_K_M
    Context 256K Speed ~81 tok/s
    Q8_0 Doesn't fit · needs 11.8 GB
  • Nemotron Nano 12B 12.6B Great ReasoningTool use
    MMLU 76
    Q4_K_M
    Context 128K Speed ~74 tok/s
    Q8_0 Doesn't fit · needs 13.1 GB
  • Qwen 2.5 7B 7.62B Good Tool use
    MMLU 74.2
    Q4_K_M
    Context 119K Speed ~108 tok/s
    Q8_0
    Context 54K Speed ~68 tok/s
  • Qwen 2.5 VL 7B 7.62B Good VisionTool use
    MMLU 74.2
    Q4_K_M
    Context 119K Speed ~108 tok/s
    Q8_0
    Context 54K Speed ~68 tok/s
  • Gemma 3 12B 11.8B Good Vision
    MMLU 74
    Q4_K_M
    Context 60K Speed ~74 tok/s
    Q8_0 Doesn't fit · needs 12.6 GB
  • Llama 3.2 Vision 11B 10.6B Good VisionTool use
    MMLU 73
    Q4_K_M
    Context 41K Speed ~89 tok/s
    Q8_0 Tight fit · 4K context
  • Phi-3 Mini 3.8B 3.82B Good
    MMLU 70.9
    Q4_K_M
    Context 23K Speed ~182 tok/s
    Q8_0
    Context 18K Speed ~122 tok/s
  • Phi-4 Mini 3.8B 3.84B Good
    MMLU 70
    Q4_K_M
    Context 69K Speed ~177 tok/s
    Q8_0
    Context 56K Speed ~121 tok/s
  • Gemma 4 E4B 4.5B Good VisionTool useReasoning
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~102 tok/s
    Q8_0
    Context 128K Speed ~73 tok/s
  • Llama 3.1 8B 8.03B Good Tool use
    MMLU 69.4
    Q4_K_M
    Context 49K Speed ~104 tok/s
    Q8_0
    Context 20K Speed ~65 tok/s
    fp16 Doesn't fit · needs 16.2 GB
  • Qwen 2.5 Coder 7B 7.62B Good
    MMLU 68
    Q4_K_M
    Context 119K Speed ~108 tok/s
    Q8_0
    Context 54K Speed ~68 tok/s
  • Mistral Nemo 12B 12.2B Good Tool use
    MMLU 68
    Q4_K_M
    Context 17K Speed ~72 tok/s
    Q8_0 Doesn't fit · needs 13.3 GB
  • Qwen 2.5 VL 3B 3.09B Fair Vision
    MMLU 65.6
    Q4_K_M
    Context 128K Speed ~210 tok/s
    Q8_0
    Context 128K Speed ~144 tok/s
  • Qwen 2.5 3B 3.09B Fair Tool use
    MMLU 65.6
    Q4_K_M
    Context 32K Speed ~210 tok/s
    Q8_0
    Context 32K Speed ~144 tok/s
  • Ministral 8B 8.02B Fair Tool use
    MMLU 65
    Q4_K_M
    Context 43K Speed ~101 tok/s
    Q8_0
    Context 18K Speed ~65 tok/s
  • SmallThinker 3B 3.09B Fair Reasoning
    MMLU 65
    Q4_K_M
    Context 32K Speed ~210 tok/s
    Q8_0
    Context 32K Speed ~144 tok/s
  • Llama 3.2 3B 3.21B Fair Tool use
    MMLU 63.4
    Q4_K_M
    Context 83K Speed ~204 tok/s
    Q8_0
    Context 70K Speed ~139 tok/s
    fp16
    Context 42K Speed ~83 tok/s
  • Gemma 3 4B 3.88B Fair Vision
    MMLU 63
    Q4_K_M
    Context 128K Speed ~177 tok/s
    Q8_0
    Context 128K Speed ~120 tok/s
  • Gemma 4 E2B 2.3B Fair VisionTool useReasoning
    MMLU 60
    Q4_K_M
    Context 128K Speed ~146 tok/s
    Q8_0
    Context 128K Speed ~109 tok/s
  • DeepSeek R1 Distill Qwen 7B 7.62B Fair Reasoning
    MMLU 58
    Q4_K_M
    Context 119K Speed ~108 tok/s
    Q8_0
    Context 54K Speed ~68 tok/s
  • Qwen3.5 2B 2B Fair VisionTool useReasoning
    MMLU 55.3
    Q4_K_M
    Context 256K Speed ~281 tok/s
    Q8_0
    Context 256K Speed ~215 tok/s
  • Llama 3.2 1B 1.24B Basic Tool use
    MMLU 49.3
    Q4_K_M
    Context 128K Speed ~340 tok/s
    Q8_0
    Context 128K Speed ~266 tok/s
  • Qwen3.5 0.8B 0.8B Basic VisionTool useReasoning
    MMLU 29.7
    Q4_K_M
    Context 256K Speed ~411 tok/s
    Q8_0
    Context 256K Speed ~350 tok/s
  • Nemotron 3 Nano 4B 3.97B Basic ReasoningTool use
    MMLU
    Q4_K_M
    Context 256K Speed ~163 tok/s
    Q8_0
    Context 256K Speed ~125 tok/s
  • Ornith 1.5 9B 9.65B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 181K Speed ~97 tok/s
    Q8_0
    Context 60K Speed ~61 tok/s
  • MiMo V2.6 Distill Qwen 9B 9.41B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 179K Speed ~96 tok/s
    Q8_0
    Context 68K Speed ~62 tok/s
  • LFM2.5 2.6B 2.7B Basic Tool use
    MMLU
    Q4_K_M
    Context 128K Speed ~241 tok/s
    Q8_0
    Context 128K Speed ~167 tok/s
  • Nemotron 3.5 Bolt E4B 8B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 64K Speed ~91 tok/s
    Q8_0
    Context 64K Speed ~73 tok/s
  • K2-Horizon 7B 9B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 42K Speed ~99 tok/s
    Q8_0 Tight fit · 15K context

Tight fit 7

Tight fit 7

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Doesn't fit 61

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 398.3 GB over
    Q8_0 Needs 713.4 GB — 702.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 37.4 GB over
    Q8_0 Needs 84.8 GB — 73.8 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 — 619.1 GB over
    Q8_0 Needs 1090.1 GB — 1079.1 GB over

Doesn't fit 61