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Grok 4.3 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
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.
Grok 4.3 has about 3.8× the context window of the other in this pair.
Grok 4.3 has 281% more context capacity (1000K vs 262K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Grok 4.3. Its 1000K context fits entire documents without chunking (vs 262K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Grok 4.3 | Trinity Large Thinking (free) |
|---|---|---|
| Context window | 1,000,000 tokens (1000K) | 262,144 tokens (262K) |
| Max output tokens | N/A | 80,000 tokens (80K) |
| Speed tier | Balanced | Deep |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Apr 2026 | Apr 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 | Grok 4.3 in | Grok 4.3 out | Trinity Large Thinking (free) in | Trinity Large Thinking (free) out |
|---|---|---|---|---|
| Xai | $1.25/M | $2.50/M | — | — |
Frequently asked questions
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Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model