Compare
o4 Mini Deep Research vs Trinity Large Thinking (free)
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
o4 Mini Deep Research
Context window
200K
200,000 tokens · ~150K words
Model
Trinity Large Thinking (free)
Context window
262K
262,144 tokens · ~197K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Trinity Large Thinking (free) has about 1.3× the context window of the other in this pair.
Trinity Large Thinking (free) has 31% more context capacity (262K vs 200K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Trinity Large Thinking (free). Its 262K context fits entire documents without chunking (vs 200K).
Long output (reports, code files)
Use o4 Mini Deep Research. Its 100K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | o4 Mini Deep Research | Trinity Large Thinking (free) |
|---|---|---|
| Context window | 200,000 tokens (200K) | 262,144 tokens (262K) |
| Max output tokens | 100,000 tokens (100K) | 80,000 tokens (80K) |
| Speed tier | Fast | Deep |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Oct 2025 | Apr 2026 |
Frequently asked questions
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Use a smaller model.
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Example: a multi-turn chat session
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