Qwen2.5-7B-Instruct vs Llama-3.2-3B-Instruct
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.0 M
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
3.2 B
Context
—
30d
872 K
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct | Llama-3.2-3B-Instruct |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 7.6 B | 3.2 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.2 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 6,037,480 | 872,223 |
| Downloads all time | 194.0 M | 50.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2024-09-16 | 2024-09-18 |
| API input price / 1M tokens | $0.10 | $0.05 |
| API output price / 1M tokens | $0.20 | $0.33 |
| Est. cost per 1M input + 1M output tokens | $0.30 | $0.38 |
| Cached input / 1M tokens | — | — |
| AA Intelligence Index | — | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 29,491 | 117,964 |
| API providers | 1 | 2 |
| Tool calling | Yes | No |
| Reasoning mode | No | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen2.5-7B-Instruct
$0.30
Llama-3.2-3B-Instruct
$0.38
Qwen2.5-7B-Instruct is 1.3× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.3 M872 K
Qwen2.5-7B-Instruct
Llama-3.2-3B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.2-3B-Instruct · fp16
8.0 GB / 24 GB
Qwen2.5-7B-Instruct · fp16
18.4 GB / 24 GB