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Qwen3 Next 80B A3B Instruct (free) 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
Qwen3 Next 80B A3B Instruct (free)
Context window
262K
262,144 tokens · ~197K 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.
Same context window size for both models.
Qwen3 Next 80B A3B Instruct (free) and Trinity Large Thinking (free) have identical context windows (262K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Qwen3 Next 80B A3B Instruct (free) | Trinity Large Thinking (free) |
|---|---|---|
| Context window | 262,144 tokens (262K) | 262,144 tokens (262K) |
| Max output tokens | N/A | 80,000 tokens (80K) |
| Speed tier | Fast | Deep |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Sep 2025 | Apr 2026 |
Frequently asked questions
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Example: a multi-turn chat session
80% less to send — works with any model