Qwen3-14B vs gemma-2-27b-it

Specs, VRAM requirements and download trends — updated 25 October 2026.

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-14B gemma-2-27b-it
Deployment Open weights · also via API Open weights · also via API
Parameters 14.8 B 27.2 B
Architecture Qwen3ForCausalLM Gemma2ForCausalLM
Context length 40,960 8,192
Licence apache-2.0 gemma
Commercial use Allowed Conditional
Languages — —
Downloads 30d 10,001,942 19,598
Downloads all time 38.7 M 5.4 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 $0.65
API output price / 1M tokens $0.24 $0.65
Est. cost per 1M input + 1M output tokens $0.36 $1.30
Cached input / 1M tokens — —
AA Intelligence Index 6.7 —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 16,384 2,048
API providers 2 1
Tool calling Yes No
Reasoning mode Yes No

API cost

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

Qwen3-14B $0.36
gemma-2-27b-it $1.30

Qwen3-14B is 3.6× cheaper at list price.

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

10.0 M19 K
Qwen3-14B gemma-2-27b-it

VRAM side by side

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

Qwen3-14B · fp16 35.2 GB / 24 GB
❌ Won’t fit
gemma-2-27b-it · fp16 64.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons