AI model comparison
Trinity Large Thinking vs GPT-4.1 Mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Arcee AI
Trinity Large Thinking
Trinity 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.
- Input / 1M
- $0.25
- Output / 1M
- $0.80
- Context
- 262K
OpenAI
GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost.
- Input / 1M
- $0.40
- Output / 1M
- $1.60
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Trinity Large Thinking
1.8x cheaper for a typical chat
Higher intelligence score
Trinity Large Thinking
10.8 vs 10.2 on Artificial Analysis
Larger context window
GPT-4.1 Mini
1.05M vs 262K tokens
Newer release
Trinity Large Thinking
Released April 1, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4.1 Mini10.2Coding index
GPT-4.1 Mini20.2Agentic index
GPT-4.1 MiniNot availablePricing
Trinity Large Thinking vs GPT-4.1 Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.40 |
| Output tokensPer 1M tokens | $0.80 | $1.60 |
| Cached input (read)Per 1M tokens | $0.06 | $0.10 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-4.1 Mini$1.60Coding task
30K in, 4K out
GPT-4.1 Mini$18.40$9.40 cachedLong document summary
150K in, 2K out
GPT-4.1 Mini$63.20$18.20 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 80K tokens | 33K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 1, 2026 | April 14, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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GPT-4.1 MiniView full model details- GPT-4.1 Mini vs Gemini 2.5 Flash Lite
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- GPT-4.1 Mini vs GPT-4o (2024-11-20)
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- GPT-4.1 Mini vs Hermes 4 405B
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- GPT-4.1 Mini vs GPT-3.5 Turbo
Our take
Trinity Large Thinking is 1.8x cheaper for a typical chat. Trinity Large Thinking scores higher on the Artificial Analysis Intelligence Index (10.8 vs 10.2). GPT-4.1 Mini has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Trinity Large Thinking or GPT-4.1 Mini cheaper?
Trinity Large Thinking is cheaper for a typical chat (2K input tokens and 500 output tokens). Trinity Large Thinking costs $0.25 per 1M input tokens and $0.80 per 1M output tokens, while GPT-4.1 Mini costs $0.40 per 1M input tokens and $1.60 per 1M output tokens.
Which has a bigger context window, Trinity Large Thinking or GPT-4.1 Mini?
GPT-4.1 Mini supports up to 1.05M tokens of context, compared with 262K for Trinity Large Thinking.
Is Trinity Large Thinking smarter than GPT-4.1 Mini?
On the Artificial Analysis Intelligence Index, Trinity Large Thinking scores 10.8 and GPT-4.1 Mini scores 10.2, putting Trinity Large Thinking ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Trinity Large Thinking and GPT-4.1 Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Trinity Large Thinking and GPT-4.1 Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Trinity Large Thinking and GPT-4.1 Mini at the same time. Compare the answers side by side and keep the best one.