Llama-3.1-8B-Instruct vs Qwen3.8-4B-Distill
Specs, VRAM requirements and download trends — updated 25 October 2026.
meta-llama · A · Open weights
Params
8.0 B
Context
—
30d
4.9 M
llama3.1 licence · conditional
empero-ai · B · Open weights
Params
4.7 B
Context
—
30d
258 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.1-8B-Instruct | Qwen3.8-4B-Distill |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 8.0 B | 4.7 B |
| Architecture | LlamaForCausalLM | Qwen3_5ForConditionalGeneration |
| Context length | 131,072 | — |
| Licence | llama3.1 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 4,880,965 | 258,405 |
| Downloads all time | 191.2 M | 280 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2026-08-15 |
| API input price / 1M tokens | $0.05 | not on OpenRouter |
| API output price / 1M tokens | $0.08 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.13 | not on OpenRouter |
| Cached input / 1M tokens | $0.025 | not on OpenRouter |
| AA Intelligence Index | 6.9 | not on OpenRouter |
| AA Coding Index | 5.4 | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 117,964 | not on OpenRouter |
| API providers | 5 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | No | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Llama-3.1-8B-Instruct
$0.13
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
8.0 M165 K
Llama-3.1-8B-Instruct
Qwen3.8-4B-Distill
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.8-4B-Distill · fp16
11.5 GB / 24 GB
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB