Qwen3-14B vs CodeLlama-7b-hf
Specs, VRAM requirements and download trends — updated 10 November 2026.
codellama · B · Open weights
Params
6.7 B
Context
16,384
30d
151 K
llama2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | CodeLlama-7b-hf |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 14.8 B | 6.7 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 16,384 |
| Licence | apache-2.0 | llama2 |
| Commercial use | Allowed | Conditional |
| Languages | — | 1 |
| Downloads 30d | 12,904,408 | 150,591 |
| Downloads all time | 46.1 M | 4.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2023-08-24 |
| API input price / 1M tokens | $0.10 | not on OpenRouter |
| API output price / 1M tokens | $0.22 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.32 | not on OpenRouter |
| Cached input / 1M tokens | — | not on OpenRouter |
| AA Intelligence Index | — | not on OpenRouter |
| AA Coding Index | 13.8 | not on OpenRouter |
| AA Agentic Index | 0.9 | not on OpenRouter |
| Max output tokens | 36,864 | not on OpenRouter |
| API providers | 2 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-14B
$0.32
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
13.0 M151 K
Qwen3-14B
CodeLlama-7b-hf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
CodeLlama-7b-hf · fp16
16.3 GB / 24 GB
Qwen3-14B · fp16
35.2 GB / 24 GB