Qwen2.5-7B-Instruct vs Llama-3.1-8B-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
8.0 B
Context
—
30d
4.5 M
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct | Llama-3.1-8B-Instruct |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 7.6 B | 8.0 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 6,037,480 | 4,504,499 |
| Downloads all time | 194.0 M | 193.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2024-09-16 | 2024-07-18 |
| API input price / 1M tokens | $0.10 | $0.02 |
| API output price / 1M tokens | $0.20 | $0.04 |
| Est. cost per 1M input + 1M output tokens | $0.30 | $0.06 |
| Cached input / 1M tokens | — | — |
| AA Intelligence Index | — | — |
| AA Coding Index | — | 5.4 |
| AA Agentic Index | — | — |
| Max output tokens | 29,491 | 16,384 |
| API providers | 1 | 4 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen2.5-7B-Instruct
$0.30
Llama-3.1-8B-Instruct
$0.06
Llama-3.1-8B-Instruct is 5.0× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.3 M4.3 M
Qwen2.5-7B-Instruct
Llama-3.1-8B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-7B-Instruct · fp16
18.4 GB / 24 GB
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB