Trinity Large Thinking is $1.03 cheaper per 1M input tokens (82.4% lower; 5.68x difference).
API cost decision in 10 seconds
Trinity Large Thinking vs GPT-5.1
Pick Trinity Large Thinking for lower cost; pick GPT-5.1 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Trinity Large Thinking for lower cost; pick GPT-5.1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Trinity Large Thinking is estimated at $0.65 vs $6.25 for GPT-5.1, saving $5.61 (89.7% lower).
Cost-first pickTrinity Large Thinking
Context-first pickGPT-5.1
Sample savings$5.6189.7%
10x traffic gap$56.05
GPT-5.1 has more context, but Trinity Large Thinking saves $5.61 on the standard workload. At 10x that traffic, the same price gap is about $56.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Trinity Large Thinking stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Trinity Large Thinking | GPT-5.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Trinity Large Thinking | $1.53 | $11.25 |
| Balanced workload | 1M input + 1M output | Trinity Large Thinking | $1.07 | $11.25 |
| Output-heavy chatbot | 1M input + 5M output | Trinity Large Thinking | $4.47 | $51.25 |
Trinity Large Thinking is $9.15 cheaper per 1M output tokens (91.5% lower; 11.8x difference).
GPT-5.1 has 137.86K more context (1.53x larger).
Trinity Large Thinking is $5.61 cheaper on the standard workload (89.7% 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
Trinity Large Thinking has the lower input price; Trinity Large Thinking has the lower output price; GPT-5.1 offers the larger context window. For the 1M input plus 500K output sample, Trinity Large Thinking is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Trinity Large Thinking and $6.25 for GPT-5.1.
Choose Trinity Large Thinking when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.1 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Trinity Large Thinking is estimated at $0.65 vs $6.25 for GPT-5.1, saving $5.61 (89.7% lower).
- Trinity Large Thinking is $5.61 cheaper on the standard workload (89.7% lower).
- Trinity Large Thinking is $1.03 cheaper per 1M input tokens (82.4% lower; 5.68x difference).
- Trinity Large Thinking is $9.15 cheaper per 1M output tokens (91.5% lower; 11.8x difference).
- GPT-5.1 has 137.86K more context (1.53x larger).
| Feature | Trinity Large Thinking (Arcee AI) | GPT-5.1 (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.22 | $1.25 |
| Completion Price per 1M tokens | $0.85 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $6.25 |
| Context Window | 262.14K | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Trinity Large Thinking | On the standard 1M input plus 500K output workload, Trinity Large Thinking is estimated at $0.65 vs $6.25 for GPT-5.1, saving $5.61 (89.7% lower). |
| High-volume input processing | Trinity Large Thinking | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Trinity Large Thinking | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Trinity Large Thinking (free) can replace Trinity Large Thinking when lower sample workload cost matters most: $0.
- Trinity Mini can replace Trinity Large Thinking when lower sample workload cost matters most: $0.12.
- Spotlight can replace Trinity Large Thinking when lower sample workload cost matters most: $0.27.
- gpt-oss-120b (free) can replace GPT-5.1 when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsArcee AI catalog
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Open Arcee AI modelsOpenAI catalog
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Open OpenAI modelsTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...