Model catalog

Gemma-2 Instruct (27B)

Open weights

Gemma-2 Instruct (27B) is a language model from Google with a 8K-token context window. Provider list price is $0.80 per million input tokens and $0.80 per million output; on Allocate you pay $0.86 and $0.86 with the 7% transaction fee. The weights are open under Gemma terms, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$0.80$0.86
Output, per M tokens$0.80$0.86

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

Qwen3.7 Plus$0.32$1.28
Gemma-2 Instruct (27B)$0.80$0.80
InputOutput

Provider list prices per M tokens, Gemma-2 Instruct (27B) against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.80 + 350 × $0.80 = $1,240 a month. Billed on Allocate it is $1,327 with the 7% transaction fee.

Gemma-2 Instruct (27B) is an open-weights model under the Gemma terms license. Read the license terms once before you build on it; fine-tuned weights on Allocate stay inside your boundary.

Example usage

Point a route at google/gemma-2-27b-it and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network
curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "google/gemma-2-27b-it",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · google/gemma-2-27b-it · inside your boundary

Common questions

How much does Gemma-2 Instruct (27B) cost per million tokens?

Provider list price is $0.80 per million input tokens and $0.80 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.86 in and $0.86 out.

What context window does Gemma-2 Instruct (27B) have?

8,192 tokens (8K). At roughly 0.75 words per token, that is about 6k words of English text per request.

Can I fine-tune Gemma-2 Instruct (27B)?

Yes. Gemma-2 Instruct (27B) is an open-weights model under the Gemma terms license. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Gemma-2 Instruct (27B) on Allocate?

Send google/gemma-2-27b-it in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

Compare against