Trinity Mini

Open weights

Trinity Mini is a language model from Arcee AI with a 128K-token context window. Provider list price is $0.045 per million input tokens and $0.15 per million output; on Allocate you pay $0.048 and $0.16 with the 7% transaction fee. The weights are open, so you can fine-tune it and own the result.

Route Trinity Mini Talk to sales

Pricing

Provider listOn Allocate

Input, per M tokens$0.045$0.048

Output, per M tokens$0.15$0.16

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

Price against its peers

LFM2.5-8B-A1B$0.03$0.12

Trinity Mini$0.045$0.15

OpenAI GPT-OSS 20B$0.05$0.20

Gemma 3N E4B Instruct$0.06$0.12

Meta Llama 3.2 1B Instruct$0.06$0.06

Meta Llama 3.2 3B Instruct$0.06$0.06

Arize AI Qwen 2 1.5B Instruct$0.10$0.10

Meta Llama 3 8B Instruct Lite$0.14$0.14

InputOutput

Provider list prices per M tokens, Trinity Mini 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 × $0.045 + 350 × $0.15 = $106.50 a month. Billed on Allocate it is $113.96 with the 7% transaction fee.

Trinity Mini is an open-weights model; the catalog does not list its license, so check the lab’s model card before commercial fine-tuning.

Example usage

Point a route at arcee/trinity-mini 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": "arcee/trinity-mini",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · arcee/trinity-mini · inside your boundary

Common questions

How much does Trinity Mini cost per million tokens?

Provider list price is $0.045 per million input tokens and $0.15 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.048 in and $0.16 out.

What context window does Trinity Mini have?

128,000 tokens (128K). At roughly 0.75 words per token, that is about 96k words of English text per request.

Can I fine-tune Trinity Mini?

Yes. Trinity Mini is an open-weights model; check the lab’s model card for the exact license terms. 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 Trinity Mini on Allocate?

Send arcee/trinity-mini 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.