Qwen2.5-Coder-32B-Instruct vs Llama-3.3-70B-Instruct
Specs, VRAM requirements and download trends — updated 12 September 2026.
Qwen · A · Open weights
Params
32.8 B
Context
32,768
30d
588 K
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
70.6 B
Context
—
30d
219 K
llama3.3 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-Coder-32B-Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 32.8 B | 70.6 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.3 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 588,474 | 219,021 |
| Downloads all time | 13.7 M | 14.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2024-11-06 | 2024-11-26 |
| API input price / 1M tokens | $0.66 | $0.10 |
| API output price / 1M tokens | $1.00 | $0.32 |
| Est. cost per 1M input + 1M output tokens | $1.66 | $0.42 |
| Cached input / 1M tokens | — | — |
| AA Intelligence Index | 6.7 | 7.7 |
| AA Coding Index | — | 11.9 |
| AA Agentic Index | — | — |
| Max output tokens | 29,491 | 16,384 |
| API providers | 1 | 10 |
| Tool calling | No | Yes |
| Reasoning mode | No | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen2.5-Coder-32B-Instruct
$1.66
Llama-3.3-70B-Instruct
$0.42
Llama-3.3-70B-Instruct is 4.0× cheaper at list price.
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
1.7 M219 K
Qwen2.5-Coder-32B-Instruct
Llama-3.3-70B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-32B-Instruct · fp16
77.5 GB / 24 GB
Llama-3.3-70B-Instruct · fp16
166.3 GB / 24 GB