AllocateGemma-2 Instruct (27B) vs Qwen 2.5 14B Instruct
On provider list prices, Gemma-2 Instruct (27B) costs $0.80 per million input tokens against $0.80 for Qwen 2.5 14B Instruct: effectively level. Output is $0.80 against $0.80. On Allocate both bill at list plus the 7% transaction fee.
Gemma-2 Instruct (27B)
Qwen 2.5 14B 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 $1,240 a month on Gemma-2 Instruct (27B) and $1,240 on Qwen 2.5 14B Instruct at list: a gap of $0.
Qwen 2.5 14B Instruct reads 32K tokens per request against 8K for Gemma-2 Instruct (27B), 4.0x the window. That decides which one can take whole documents without splitting them.
Choose Qwen 2.5 14B Instruct for
- The longer context window (32K vs 8K tokens)
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Gemma-2 Instruct (27B) or Qwen 2.5 14B Instruct?
Gemma-2 Instruct (27B), on this workload shape. At list prices it is $0.80/$0.80 per million tokens in and out against $0.80/$0.80 for Qwen 2.5 14B Instruct. Billed on Allocate: $0.86/$0.86 against $0.86/$0.86, list plus 7%.
Which has the bigger context window?
Qwen 2.5 14B Instruct: 32,768 tokens (32K) against 8,192 (8K) for Gemma-2 Instruct (27B).
Can I fine-tune Gemma-2 Instruct (27B) or Qwen 2.5 14B Instruct?
Both publish open weights (Gemma-2 Instruct (27B): Gemma terms; Qwen 2.5 14B Instruct: Apache 2.0), 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.