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Gpt 5 6 vs Trinity Large Preview (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
Trinity Large Preview (free)
Context window
131K
131,000 tokens · ~98K 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.
Gpt 5 6 has about 8× the context window of the other in this pair.
Gpt 5 6 has 701% more context capacity (1050K vs 131K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Gpt 5 6. Its 1050K context fits entire documents without chunking (vs 131K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gpt 5 6 | Trinity Large Preview (free) |
|---|---|---|
| Context window | 1,050,000 tokens (1050K) | 131,000 tokens (131K) |
| Max output tokens | 128,000 tokens (128K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | N/A | Jan 2026 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Gpt 5 6 in | Gpt 5 6 out | Trinity Large Preview (free) in | Trinity Large Preview (free) out |
|---|---|---|---|---|
| Openai | $5.00/M | $30.00/M | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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