AllocateArize AI Qwen 2 1.5B Instruct vs Gemma 3N E4B Instruct
On provider list prices, Gemma 3N E4B Instruct costs $0.06 per million input tokens against $0.10 for Arize AI Qwen 2 1.5B Instruct: 1.7x apart. Output is $0.12 against $0.10. On Allocate both bill at list plus the 7% transaction fee.
Gemma 3N E4B InstructSpecifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $114 a month on Gemma 3N E4B Instruct and $155 on Arize AI Qwen 2 1.5B Instruct at list: a gap of $41, or 1.4x.
Choose Arize AI Qwen 2 1.5B Instruct for
- Training toward a model you own
Choose Gemma 3N E4B Instruct for
- The lower list price ($0.06 in / $0.12 out per M tokens)
Common questions
Which is cheaper, Arize AI Qwen 2 1.5B Instruct or Gemma 3N E4B Instruct?
Gemma 3N E4B Instruct, on this workload shape. At list prices it is $0.06/$0.12 per million tokens in and out against $0.10/$0.10 for Arize AI Qwen 2 1.5B Instruct. Billed on Allocate: $0.064/$0.13 against $0.11/$0.11, list plus 7%.
Which has the bigger context window?
They match: both read 32,768 tokens (32K) per request.
Can I fine-tune Arize AI Qwen 2 1.5B Instruct or Gemma 3N E4B Instruct?
Both publish open weights (Arize AI Qwen 2 1.5B Instruct: Not listed; Gemma 3N E4B Instruct: Gemma terms), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.