Llama-3.2-1B-Instruct vs Qwen3-0.6B-GGUF
Specs, VRAM requirements and download trends — updated 25 October 2026.
meta-llama · A · Open weights
Params
1.2 B
Context
—
30d
3.7 M
llama3.2 licence · conditional
unsloth · B · Open weights
Params
600 M
Context
40,960
30d
143 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.2-1B-Instruct | Qwen3-0.6B-GGUF |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 1.2 B | 600 M |
| Architecture | LlamaForCausalLM | Qwen3ForCausalLM |
| Context length | 60,000 | 40,960 |
| Licence | llama3.2 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 3,708,648 | 143,481 |
| Downloads all time | 109.1 M | 1.3 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-09-18 | 2025-04-28 |
| API input price / 1M tokens | $0.027 | not on OpenRouter |
| API output price / 1M tokens | $0.20 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.23 | not on OpenRouter |
| Cached input / 1M tokens | — | not on OpenRouter |
| AA Intelligence Index | 4.8 | not on OpenRouter |
| AA Coding Index | — | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 54,000 | not on OpenRouter |
| API providers | 1 | not on OpenRouter |
| Tool calling | No | not on OpenRouter |
| Reasoning mode | No | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Llama-3.2-1B-Instruct
$0.23
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
10.4 M142 K
Llama-3.2-1B-Instruct
Qwen3-0.6B-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-0.6B-GGUF · Q4_0
1.0 GB / 24 GB
Llama-3.2-1B-Instruct · fp16
3.4 GB / 24 GB