Choose Arcee AI: Trinity Mini if…
- you want to prototype at zero cost — a free variant is listed
- you want the newer model — released 2025-12-01, 4 months after the other
Neither wins outright: Arcee AI: Trinity Mini is the pick when you want to prototype at zero cost, OpenAI: gpt-oss-20b (batch) when cost matters at scale.
| Spec | Arcee AI: Trinity Mini | OpenAI: gpt-oss-20b (batch) |
|---|---|---|
| Provider | Arcee Ai | OpenAI |
| Input price (per 1M tokens) | $0.04 | $0.02 |
| Output price (per 1M tokens) | $0.15 | $0.11 |
| Blended price (3:1 input/output) | $0.07 | $0.05 |
| Cheaper than … of all models we track | 84% | 87% |
| Context window | 131K tokens (~197 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 23% | 23% |
| Max output per response | 131K tokens (~98,300 words) | 118K tokens (~88,500 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | Yes | No |
| Listed since | 2025-12-01 | 2025-08-05 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Arcee AI: Trinity Mini | OpenAI: gpt-oss-20b (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $6.38 | $4.04 | OpenAI: gpt-oss-20b (batch) saves $2.33 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $6.90 | $4.00 | OpenAI: gpt-oss-20b (batch) saves $2.90 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $7.20 | $4.22 | OpenAI: gpt-oss-20b (batch) saves $2.98 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $4.50 | $2.59 | OpenAI: gpt-oss-20b (batch) saves $1.91 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.40 | $1.31 | OpenAI: gpt-oss-20b (batch) saves $1.09 |
| Capability | Arcee AI: Trinity Mini | OpenAI: gpt-oss-20b (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | — | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-23 | OpenAI: gpt-oss-20b (batch) | $0.02 | $0.11 |
Neither wins outright: Arcee AI: Trinity Mini is the pick when you want to prototype at zero cost, OpenAI: gpt-oss-20b (batch) when cost matters at scale. In short: Arcee AI: Trinity Mini when you want to prototype at zero cost, you want the newer model; OpenAI: gpt-oss-20b (batch) when cost matters at scale, you need seed (reproducible sampling).
OpenAI: gpt-oss-20b (batch) is cheaper: $0.05 vs $0.07 per 1M tokens at a typical 3:1 input/output mix, 35% less. For 50,000 support conversations a month that is $4.04 against $6.38.
Arcee AI: Trinity Mini costs $0.04 per 1M input tokens and $0.15 per 1M output tokens; OpenAI: gpt-oss-20b (batch) costs $0.02 input and $0.11 output. Output tokens are billed separately, so long answers shift the gap.
Both take 131K tokens per request — roughly 197 pages of text.
Tool calling — Arcee AI: Trinity Mini: yes, OpenAI: gpt-oss-20b (batch): yes. JSON-schema structured output — Arcee AI: Trinity Mini: yes, OpenAI: gpt-oss-20b (batch): yes.
Neither accepts image input — both are text-in models.
Arcee AI: Trinity Mini has a free variant (arcee-ai/trinity-mini:free). Free variants usually carry tighter rate limits.
Arcee AI: Trinity Mini can write up to 131K tokens (about 98,300 words) per response; OpenAI: gpt-oss-20b (batch) up to 118K (about 88,500 words).
Arcee AI: Trinity Mini was listed on 2025-12-01; OpenAI: gpt-oss-20b (batch) on 2025-08-05.
Arcee AI: Trinity Mini: price unchanged since we started tracking it on 2026-03-10. OpenAI: gpt-oss-20b (batch): input price cut 52% ($0.05 → $0.02/1M), output price cut 44% ($0.20 → $0.11/1M) on 2026-09-23.
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function calling and multi-step agent workflows.
Full Arcee AI: Trinity Mini specs →gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Full OpenAI: gpt-oss-20b (batch) specs →