Qwen3-14B vs gemma-2-9b-it

Specs, VRAM requirements and download trends — updated 23 October 2026.

Qwen · A · Open weights
Params
14.8 B
Context
40,960
30d
9.2 M
apache-2.0 · commercial OK
google · B · Open weights
Params
9.2 B
Context
—
30d
576 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-14B gemma-2-9b-it
Deployment Open weights · also via API Open weights
Parameters 14.8 B 9.2 B
Architecture Qwen3ForCausalLM Gemma2ForCausalLM
Context length 40,960 —
Licence apache-2.0 gemma
Commercial use Allowed Conditional
Languages — —
Downloads 30d 9,211,389 575,723
Downloads all time 37.8 M 12.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-04-27 2024-06-24
API input price / 1M tokens $0.12 not on OpenRouter
API output price / 1M tokens $0.24 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.36 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index 6.7 not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 16,384 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 $0.36

Download trend

Daily snapshots, last 88 days (28 Jul – 23 Oct)

9.2 M324 K
Qwen3-14B gemma-2-9b-it

VRAM side by side

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

gemma-2-9b-it · fp16 22.2 GB / 24 GB
⚠️ Tight — reduce context
Qwen3-14B · fp16 35.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons