Qwen2.5-Coder-14B-Instruct-AWQ vs phi-4

Specs, VRAM requirements and download trends — updated 10 September 2026.

Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
332 K
apache-2.0 · commercial OK
microsoft · B · Open weights
Params
14.7 B
Context
16,384
30d
356 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-Coder-14B-Instruct-AWQ phi-4
Deployment Open weights Open weights · also via API
Parameters 14.8 B 14.7 B
Architecture Qwen2ForCausalLM Phi3ForCausalLM
Context length 32,768 16,384
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 1
Downloads 30d 332,449 356,282
Downloads all time 8.0 M 14.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-11-09 2024-12-11
API input price / 1M tokens not on OpenRouter $0.07
API output price / 1M tokens not on OpenRouter $0.14
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.21
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 5.9
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 14,745
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

phi-4 $0.21

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

1.9 M332 K
Qwen2.5-Coder-14B-Instruct-AWQ phi-4

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen2.5-Coder-14B-Instruct-AWQ · fp16 13.7 GB / 24 GB
✅ Runs comfortably
phi-4 · fp16 34.9 GB / 24 GB
❌ Won’t fit

Adjacent comparisons