gpt-oss-120b is $0.006 cheaper per 1M input tokens (13.3% lower; 1.15x difference).
API cost decision in 10 seconds
🔥gpt-oss-120b vs Trinity Mini
Pick Trinity Mini when budget is the priority.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Trinity Mini when budget is the priority.
On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.13 for gpt-oss-120b, saving $0.009 (7% lower).
Cost-first pickTrinity Mini
Context-first pickBoth models
Sample savings$0.0097%
10x traffic gap$0.09
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.09. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors gpt-oss-120b, balanced workload favors Trinity Mini, and output-heavy chatbot favors Trinity Mini.
| Workload shape | Token mix | Better pick | gpt-oss-120b | Trinity Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-120b | $0.29 | $0.3 |
| Balanced workload | 1M input + 1M output | Trinity Mini | $0.22 | $0.2 |
| Output-heavy chatbot | 1M input + 5M output | Trinity Mini | $0.94 | $0.8 |
Trinity Mini is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Both models report the same context window at 131.07K tokens.
Trinity Mini is $0.009 cheaper on the standard workload (7% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
gpt-oss-120b has the lower input price; Trinity Mini has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Trinity Mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.13 for gpt-oss-120b and $0.12 for Trinity Mini.
Choose gpt-oss-120b when you care most about lower input-token price.
Choose Trinity Mini when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.13 for gpt-oss-120b, saving $0.009 (7% lower).
- Trinity Mini is $0.009 cheaper on the standard workload (7% lower).
- gpt-oss-120b is $0.006 cheaper per 1M input tokens (13.3% lower; 1.15x difference).
- Trinity Mini is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- Both models report the same context window at 131.07K tokens.
| Feature | 🔥gpt-oss-120b (OpenAI) | Trinity Mini (Arcee AI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.039 | $0.045 |
| Completion Price per 1M tokens | $0.18 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $0.12 |
| Context Window | 131.07K | 131.07K |
| Release Date | ||
| Popularity | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Trinity Mini | On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.13 for gpt-oss-120b, saving $0.009 (7% lower). |
| High-volume input processing | gpt-oss-120b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Trinity Mini | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-120b when lower sample workload cost matters most: $0.1.
- Trinity Large Thinking (free) can replace Trinity Mini when lower sample workload cost matters most: $0.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.
- Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open Arcee AI modelsgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
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...