Comparisons

Gemma-2 Instruct (27B) vs Qwen 2.5 Coder 32B Instruct

On provider list prices, Gemma-2 Instruct (27B) costs $0.80 per million input tokens against $0.80 for Qwen 2.5 Coder 32B 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 Coder 32B Instruct
LabGoogleQwen
AccessOpen weightsOpen weights
Context window8K tokens16K tokens
List price, input$0.8 / M tokens$0.8 / M tokens
List price, output$0.8 / M tokens$0.8 / M tokens
Cached inputn/an/a
LicenseGemma termsQwen license
Fine-tunableYesYes

Specifications 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 Coder 32B Instruct at list: a gap of $0.

Qwen 2.5 Coder 32B Instruct reads 16K tokens per request against 8K for Gemma-2 Instruct (27B), 2.0x the window. That decides which one can take whole documents without splitting them.

Gemma-2 Instruct (27B)$0.80$0.80
Qwen 2.5 Coder 32B Instruct$0.80$0.80
InputOutput

Choose Gemma-2 Instruct (27B) for

  • Training toward a model you own
Gemma-2 Instruct (27B) details

Choose Qwen 2.5 Coder 32B Instruct for

  • The longer context window (16K vs 8K tokens)
Qwen 2.5 Coder 32B Instruct details

Common questions

Which is cheaper, Gemma-2 Instruct (27B) or Qwen 2.5 Coder 32B 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 Coder 32B 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 Coder 32B Instruct: 16,384 tokens (16K) against 8,192 (8K) for Gemma-2 Instruct (27B).

Can I fine-tune Gemma-2 Instruct (27B) or Qwen 2.5 Coder 32B Instruct?

Both publish open weights (Gemma-2 Instruct (27B): Gemma terms; Qwen 2.5 Coder 32B Instruct: Qwen license), 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.