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Qwen3 8B vs Llama 3.1 8B: which runs better locally?
Qwen3 8B needs about 6.4 GB at Q4 with 8K context and fits fully on 36 of 40 GPUs. Llama 3.1 8B needs 6.2 GB and fits on 36.
Qwen3 8B needs about 6.4 GB at Q4 with 8K context and fits fully on 36 of 40 GPUs. Llama 3.1 8B needs 6.2 GB and fits on 36.
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.
| GPU | Qwen3 8B | Llama 3.1 8B |
|---|---|---|
| RTX 5090 32 GB | Runs~130 tok/sQ8_0 | Runs~140 tok/sQ8_0 |
| RTX 4090 24 GB | Runs~75 tok/sQ8_0 | Runs~77 tok/sQ8_0 |
| RX 7900 XTX 24 GB | Runs~72 tok/sQ8_0 | Runs~74 tok/sQ8_0 |
| RTX 3090 / 3090 Ti 24 GB | Runs~70 tok/sQ8_0 | Runs~72 tok/sQ8_0 |
| RX 7900 XT 20 GB | Runs~60 tok/sQ8_0 | Runs~61 tok/sQ8_0 |
| RTX 5080 16 GB | Runs~72 tok/sQ8_0 | Runs~74 tok/sQ8_0 |
| RTX 5070 Ti 16 GB | Runs~67 tok/sQ8_0 | Runs~69 tok/sQ8_0 |
| RTX 4080 / 4080 Super 16 GB | Runs~55 tok/sQ8_0 | Runs~56 tok/sQ8_0 |
| RTX 4070 Ti Super 16 GB | Runs~50 tok/sQ8_0 | Runs~52 tok/sQ8_0 |
| RX 9070 XT 16 GB | Runs~48 tok/sQ8_0 | Runs~49 tok/sQ8_0 |
| RX 7800 XT 16 GB | Runs~47 tok/sQ8_0 | Runs~48 tok/sQ8_0 |
| Arc A770 16 GB | Runs~42 tok/sQ8_0 | Runs~43 tok/sQ8_0 |
| RX 6800 XT 16 GB | Runs~38 tok/sQ8_0 | Runs~39 tok/sQ8_0 |
| RTX 5060 Ti 16 GB | Runs~34 tok/sQ8_0 | Runs~34 tok/sQ8_0 |
| RTX 4060 Ti 16 GB | Runs~22 tok/sQ8_0 | Runs~22 tok/sQ8_0 |
| RTX 5070 12 GB | Runs~50 tok/sQ8_0 | Runs~52 tok/sQ8_0 |
| RTX 4070 / 4070 Super 12 GB | Runs~38 tok/sQ8_0 | Runs~39 tok/sQ8_0 |
| Arc B580 12 GB | Runs~34 tok/sQ8_0 | Runs~35 tok/sQ8_0 |
| RX 7700 XT 12 GB | Runs~32 tok/sQ8_0 | Runs~33 tok/sQ8_0 |
| RX 6700 XT 12 GB | Runs~29 tok/sQ8_0 | Runs~29 tok/sQ8_0 |
| RTX 3060 12 GB | Runs~27 tok/sQ8_0 | Runs~28 tok/sQ8_0 |
| GTX 1080 Ti 11 GB | Runs~47 tok/sQ6_K | Runs~48 tok/sQ6_K |
| RTX 3080 10 GB | Runs~74 tok/sQ6_K | Runs~75 tok/sQ6_K |
| Arc A750 8 GB | Runs~69 tok/sQ4_K_M | Runs~71 tok/sQ4_K_M |
| RTX 5060 Ti 8 GB | Runs~60 tok/sQ4_K_M | Runs~62 tok/sQ4_K_M |
| RTX 5060 8 GB | Runs~60 tok/sQ4_K_M | Runs~62 tok/sQ4_K_M |
| RTX 3070 / 3070 Ti 8 GB | Runs~60 tok/sQ4_K_M | Runs~62 tok/sQ4_K_M |
| RTX 3060 Ti 8 GB | Runs~60 tok/sQ4_K_M | Runs~62 tok/sQ4_K_M |
| RTX 4060 Ti 8 GB | Runs~39 tok/sQ4_K_M | Runs~40 tok/sQ4_K_M |
| RX 7600 8 GB | Runs~39 tok/sQ4_K_M | Runs~40 tok/sQ4_K_M |
| RTX 4060 8 GB | Runs~37 tok/sQ4_K_M | Runs~38 tok/sQ4_K_M |
| RTX 3050 8 GB | Runs~30 tok/sQ4_K_M | Runs~31 tok/sQ4_K_M |
| GTX 1660 / 1660 Super 6 GB | Offload~6.8 tok/sQ4_K_M | Offload~7.0 tok/sQ4_K_M |
| GTX 1650 4 GB | Offload~4.6 tok/sQ4_K_M | Offload~4.7 tok/sQ4_K_M |
| RTX 4090 Laptop 16 GB | Runs~43 tok/sQ8_0 | Runs~44 tok/sQ8_0 |
| RTX 4080 Laptop 12 GB | Runs~32 tok/sQ8_0 | Runs~33 tok/sQ8_0 |
| RTX 4070 Laptop 8 GB | Runs~34 tok/sQ4_K_M | Runs~35 tok/sQ4_K_M |
| RTX 4060 Laptop 8 GB | Runs~34 tok/sQ4_K_M | Runs~35 tok/sQ4_K_M |
| RTX 3060 Laptop 6 GB | Offload~6.8 tok/sQ4_K_M | Offload~7.0 tok/sQ4_K_M |
| RTX 4050 Laptop 6 GB | Offload~4.4 tok/sQ4_K_M | Offload~4.4 tok/sQ4_K_M |
Which should you run?
Close in size and speed. Qwen3 8B needs about 6.4 GB at Q4 with 8K context and fits fully on 36 of 40 GPUs. Llama 3.1 8B needs 6.2 GB and fits on 36.
See every result on its own page: Qwen3 8B and Llama 3.1 8B.
Questions
Is Qwen3 8B or Llama 3.1 8B better?
Close in size and speed. Qwen3 8B needs about 6.4 GB at Q4 with 8K context and fits fully on 36 of 40 GPUs. Llama 3.1 8B needs 6.2 GB and fits on 36. The right pick depends on what you use it for: compare the strengths listed on each model's page.
Which needs less VRAM, Qwen3 8B or Llama 3.1 8B?
Qwen3 8B needs about 6.4 GB at Q4 with 8K context, Llama 3.1 8B about 6.2 GB. At Q8 it is 11 GB versus 10 GB.
Can I run Qwen3 8B and Llama 3.1 8B on a 12 GB GPU?
On an RTX 3060 12 GB, Qwen3 8B runs fully at Q8_0 (about 27 tokens per second) and Llama 3.1 8B runs fully at Q8_0 (about 28 tokens per second).
More comparisons
Estimates from memory size and bandwidth at 8K context. Real speed varies with software, drivers and settings.