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DeepSeek-R1 Distill 14B vs Qwen3 14B: which runs better locally?

DeepSeek-R1 Distill 14B needs about 10.9 GB at Q4 with 8K context and fits fully on 16 of 40 GPUs. Qwen3 14B needs 10.9 GB and fits on 16.

VerdictClose in size and speed

DeepSeek-R1 Distill 14B needs about 10.9 GB at Q4 with 8K context and fits fully on 16 of 40 GPUs. Qwen3 14B needs 10.9 GB and fits on 16.

Parameters14.8B
Memory at Q4, 8K10.9 GB
Memory at Q8, 8K18.5 GB
GPUs that run it fully16 / 40
Cheapest desktop cardRTX 4060 Ti (16 GB)
Qwen3 14BChat, Coding, Reasoning
Parameters14.8B
Memory at Q4, 8K10.9 GB
Memory at Q8, 8K18.5 GB
GPUs that run it fully16 / 40
Cheapest desktop cardRTX 4060 Ti (16 GB)

Each GPU at 8K context with the best quantization that fits. Offload assumes 32 GB of system RAM. Green marks the better result. Rows where the two differ come first.

GPUDeepSeek-R1 Distill 14BQwen3 14B
RTX 5090 32 GBRuns~74 tok/sQ8_0Runs~74 tok/sQ8_0
RTX 4090 24 GBRuns~42 tok/sQ8_0Runs~42 tok/sQ8_0
RX 7900 XTX 24 GBRuns~40 tok/sQ8_0Runs~40 tok/sQ8_0
RTX 3090 / 3090 Ti 24 GBRuns~39 tok/sQ8_0Runs~39 tok/sQ8_0
RX 7900 XT 20 GBRuns~43 tok/sQ6_KRuns~43 tok/sQ6_K
RTX 5080 16 GBRuns~59 tok/sQ5_K_MRuns~59 tok/sQ5_K_M
RTX 5070 Ti 16 GBRuns~55 tok/sQ5_K_MRuns~55 tok/sQ5_K_M
RTX 4080 / 4080 Super 16 GBRuns~46 tok/sQ5_K_MRuns~46 tok/sQ5_K_M
RTX 4070 Ti Super 16 GBRuns~42 tok/sQ5_K_MRuns~42 tok/sQ5_K_M
RX 9070 XT 16 GBRuns~40 tok/sQ5_K_MRuns~40 tok/sQ5_K_M
RX 7800 XT 16 GBRuns~39 tok/sQ5_K_MRuns~39 tok/sQ5_K_M
Arc A770 16 GBRuns~35 tok/sQ5_K_MRuns~35 tok/sQ5_K_M
RX 6800 XT 16 GBRuns~32 tok/sQ5_K_MRuns~32 tok/sQ5_K_M
RTX 5060 Ti 16 GBRuns~28 tok/sQ5_K_MRuns~28 tok/sQ5_K_M
RTX 4060 Ti 16 GBRuns~18 tok/sQ5_K_MRuns~18 tok/sQ5_K_M
RTX 5070 12 GBOffload~7.5 tok/sQ4_K_MOffload~7.5 tok/sQ4_K_M
RTX 4070 / 4070 Super 12 GBOffload~5.6 tok/sQ4_K_MOffload~5.6 tok/sQ4_K_M
Arc B580 12 GBOffload~5.1 tok/sQ4_K_MOffload~5.1 tok/sQ4_K_M
RX 7700 XT 12 GBOffload~4.8 tok/sQ4_K_MOffload~4.8 tok/sQ4_K_M
RX 6700 XT 12 GBOffload~4.3 tok/sQ4_K_MOffload~4.3 tok/sQ4_K_M
RTX 3060 12 GBOffload~4.0 tok/sQ4_K_MOffload~4.0 tok/sQ4_K_M
GTX 1080 Ti 11 GBOffload~5.3 tok/sQ4_K_MOffload~5.3 tok/sQ4_K_M
RTX 3080 10 GBOffload~7.7 tok/sQ4_K_MOffload~7.7 tok/sQ4_K_M
Arc A750 8 GBOffload~5.1 tok/sQ4_K_MOffload~5.1 tok/sQ4_K_M
RTX 5060 Ti 8 GBOffload~4.7 tok/sQ4_K_MOffload~4.7 tok/sQ4_K_M
RTX 5060 8 GBOffload~4.7 tok/sQ4_K_MOffload~4.7 tok/sQ4_K_M
RTX 3070 / 3070 Ti 8 GBOffload~4.7 tok/sQ4_K_MOffload~4.7 tok/sQ4_K_M
RTX 3060 Ti 8 GBOffload~4.7 tok/sQ4_K_MOffload~4.7 tok/sQ4_K_M
RTX 4060 Ti 8 GBOffload~3.5 tok/sQ4_K_MOffload~3.5 tok/sQ4_K_M
RX 7600 8 GBOffload~3.5 tok/sQ4_K_MOffload~3.5 tok/sQ4_K_M
RTX 4060 8 GBOffload~3.4 tok/sQ4_K_MOffload~3.4 tok/sQ4_K_M
RTX 3050 8 GBOffload~3.0 tok/sQ4_K_MOffload~3.0 tok/sQ4_K_M
GTX 1660 / 1660 Super 6 GBOffload~3.9 tok/sQ4_K_MOffload~3.9 tok/sQ4_K_M
GTX 1650 4 GBOffload~3.2 tok/sQ4_K_MOffload~3.2 tok/sQ4_K_M
RTX 4090 Laptop 16 GBRuns~36 tok/sQ5_K_MRuns~36 tok/sQ5_K_M
RTX 4080 Laptop 12 GBOffload~4.8 tok/sQ4_K_MOffload~4.8 tok/sQ4_K_M
RTX 4070 Laptop 8 GBOffload~3.2 tok/sQ4_K_MOffload~3.2 tok/sQ4_K_M
RTX 4060 Laptop 8 GBOffload~3.2 tok/sQ4_K_MOffload~3.2 tok/sQ4_K_M
RTX 3060 Laptop 6 GBOffload~3.9 tok/sQ4_K_MOffload~3.9 tok/sQ4_K_M
RTX 4050 Laptop 6 GBOffload~3.1 tok/sQ4_K_MOffload~3.1 tok/sQ4_K_M

Which should you run?

Close in size and speed. DeepSeek-R1 Distill 14B needs about 10.9 GB at Q4 with 8K context and fits fully on 16 of 40 GPUs. Qwen3 14B needs 10.9 GB and fits on 16.

See every result on its own page: DeepSeek-R1 Distill 14B and Qwen3 14B.

Questions

Is DeepSeek-R1 Distill 14B or Qwen3 14B better?

Close in size and speed. DeepSeek-R1 Distill 14B needs about 10.9 GB at Q4 with 8K context and fits fully on 16 of 40 GPUs. Qwen3 14B needs 10.9 GB and fits on 16. The right pick depends on what you use it for: compare the strengths listed on each model's page.

Which needs less VRAM, DeepSeek-R1 Distill 14B or Qwen3 14B?

DeepSeek-R1 Distill 14B needs about 11 GB at Q4 with 8K context, Qwen3 14B about 11 GB. At Q8 it is 19 GB versus 19 GB.

Can I run DeepSeek-R1 Distill 14B and Qwen3 14B on a 12 GB GPU?

On an RTX 3060 12 GB, DeepSeek-R1 Distill 14B only runs with part of the model in system RAM, at a few tokens per second and Qwen3 14B only runs with part of the model in system RAM, at a few tokens per second.

More comparisons

Estimates from memory size and bandwidth at 8K context. Real speed varies with software, drivers and settings.

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