Trinity Mini vs OpenAI GPT-OSS 20B
On provider list prices, Trinity Mini costs $0.045 per million input tokens against $0.05 for OpenAI GPT-OSS 20B: 1.1x apart. Output is $0.15 against $0.20 (1.3x).
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
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 $130 on OpenAI GPT-OSS 20B at list: a gap of $23.50, or 1.2x.
OpenAI GPT-OSS 20B reads 128K tokens per request against 128K for Trinity Mini, 1.0x 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)
Choose OpenAI GPT-OSS 20B for
- The longer context window (128K vs 128K tokens)
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Trinity Mini or OpenAI GPT-OSS 20B?
Trinity Mini, on this workload shape. At list prices it is $0.045/$0.15 per million tokens in and out against $0.05/$0.20 for OpenAI GPT-OSS 20B. Billed on Allocate: $0.048/$0.16 against $0.053/$0.21.
Which has the bigger context window?
OpenAI GPT-OSS 20B: 131,072 tokens (128K) against 128,000 (128K) for Trinity Mini.
Can I fine-tune Trinity Mini or OpenAI GPT-OSS 20B?
Both publish open weights (Trinity Mini: Not listed; OpenAI GPT-OSS 20B: 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 do not 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.