AllocateTrinity Mini vs Gemma 3N E4B Instruct
On provider list prices, Gemma 3N E4B Instruct costs $0.06 per million input tokens against $0.045 for Trinity Mini: effectively level. Output is $0.12 against $0.15 (1.3x). 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 $106.50 a month on Trinity Mini and $114 on Gemma 3N E4B Instruct at list: a gap of $7.50.
Trinity Mini reads 128K tokens per request against 32K for Gemma 3N E4B Instruct, 3.9x the window. That decides which one can take whole documents without splitting them.
Choose Trinity Mini for
- The lower list price ($0.045 in / $0.15 out per M tokens)
- The longer context window (128K vs 32K tokens)
Common questions
Which is cheaper, Trinity Mini or Gemma 3N E4B Instruct?
Trinity Mini, on this workload shape. At list prices it is $0.045/$0.15 per million tokens in and out against $0.06/$0.12 for Gemma 3N E4B Instruct. Billed on Allocate: $0.048/$0.16 against $0.064/$0.13, list plus 7%.
Which has the bigger context window?
Trinity Mini: 128,000 tokens (128K) against 32,768 (32K) for Gemma 3N E4B Instruct.
Can I fine-tune Trinity Mini or Gemma 3N E4B Instruct?
Both publish open weights (Trinity Mini: 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.