MODEL COMPARISON
Qwen3-VL-8B-Instruct vs Apertus-8B-Instruct-2509
Qwen3-VL-8B-Instruct and Apertus-8B-Instruct-2509 need about the same memory (within 1 GB): about 8 GB (text weights only) and about 8 GB. Qwen3-VL-8B-Instruct has one runtime in release (Ollama). Apertus-8B-Instruct-2509 has no runtime listed as in release.
SIDE BY SIDE
| Compare | Qwen3-VL-8B-Instruct | Apertus-8B-Instruct-2509 |
|---|---|---|
| Memory needed | about 8 GB · Up to 8 GB (laptop) (text weights only) | about 8 GB · Up to 8 GB (laptop) |
| Recommended quant | Q4_K_M · 5.0 GB | Q4_K_M · 5.1 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | ReleasedChecked 22 Oct 2026 | UnknownVersion v0.40.8 · Checked 22 Oct 2026 |
| LM Studio support | UnknownChecked 22 Oct 2026 | UnknownChecked 22 Oct 2026 |
| MLX / mlx-lm support | Architecture listedChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 11 Oct 2025 | 13 Aug 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | Qwen | swiss-ai |
| Downloads | 4.8M | 422.9K |
| Model page | Open Qwen3-VL-8B-Instruct ↗ | Open Apertus-8B-Instruct-2509 ↗ |
| 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.