# Trinity Mini vs Arize AI Qwen 2 1.5B Instruct

On provider list prices, Trinity Mini costs $0.045 per million input tokens against $0.10 for Arize AI Qwen 2 1.5B Instruct: 2.2x apart. Output is $0.15 against $0.10. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Trinity Mini | Arize AI Qwen 2 1.5B Instruct |
| --- | --- | --- |
| Lab | Arcee AI | Togethercomputer |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 32K tokens |
| List price, input | $0.045 / M tokens | $0.10 / M tokens |
| List price, output | $0.15 / M tokens | $0.10 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | Not listed |
| Fine-tunable | Yes | Yes |

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 $106.50 a month on Trinity Mini and $155 on Arize AI Qwen 2 1.5B Instruct at list: a gap of $48.50, or 1.5x.

Trinity Mini reads 128K tokens per request against 32K for Arize AI Qwen 2 1.5B 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)

## Choose Arize AI Qwen 2 1.5B Instruct for

- Training toward a model you own

## Common questions

### Which is cheaper, Trinity Mini or Arize AI Qwen 2 1.5B Instruct?

Trinity Mini, on this workload shape. At list prices it is $0.045/$0.15 per million tokens in and out against $0.10/$0.10 for Arize AI Qwen 2 1.5B Instruct. Billed on Allocate: $0.048/$0.16 against $0.11/$0.11, list plus 7%.

### Which has the bigger context window?

Trinity Mini: 128,000 tokens (128K) against 32,768 (32K) for Arize AI Qwen 2 1.5B Instruct.

### Can I fine-tune Trinity Mini or Arize AI Qwen 2 1.5B Instruct?

Both publish open weights (Trinity Mini: Not listed; Arize AI Qwen 2 1.5B Instruct: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/arcee-trinity-mini-vs-arize-qwen-2-1-5b-instruct) · [Trinity Mini](https://allocate.network/models/arcee-trinity-mini.md) · [Arize AI Qwen 2 1.5B Instruct](https://allocate.network/models/arize-qwen-2-1-5b-instruct.md) · [Machine-readable catalog](https://allocate.network/catalog.json)