MODEL COMPARISON
Qwen3-8B vs Qwen3-VL-8B-Instruct
Qwen3-8B and Qwen3-VL-8B-Instruct need about the same memory (within 1 GB): about 8 GB and about 8 GB (text weights only). Qwen3-8B has one runtime in release (Ollama). Qwen3-VL-8B-Instruct has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | Qwen3-8B | Qwen3-VL-8B-Instruct |
|---|---|---|
| Memory needed | about 8 GB · Up to 8 GB (laptop) | about 8 GB · Up to 8 GB (laptop) (text weights only) |
| Recommended quant | Q4_K_M · 5.0 GB | Q4_K_M · 5.0 GB |
| llama.cpp support | Architecture listedChecked 26 Oct 2026 | Architecture listedChecked 26 Oct 2026 |
| Ollama support | ReleasedChecked 26 Oct 2026 | ReleasedChecked 26 Oct 2026 |
| LM Studio support | UnknownChecked 26 Oct 2026 | Upload availableChecked 26 Oct 2026 |
| MLX / mlx-lm support | Upload availableChecked 26 Oct 2026 | Architecture listedChecked 26 Oct 2026 |
| vLLM support | Architecture listedChecked 26 Oct 2026 | Architecture listedChecked 26 Oct 2026 |
| Released | Apr 27, 2025 | Oct 11, 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | Qwen | Qwen |
| Downloads | 8.1M | 5.8M |
| Model page | Open Qwen3-8B ↗ | Open Qwen3-VL-8B-Instruct ↗ |
| Fits these setups |
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Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →
These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.