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Nemotron 3 Ultra (free) vs Qwen3.7 Max
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
Nemotron 3 Ultra (free)
Context window
1M
1,000,000 tokens · ~750K 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.
Nemotron 3 Ultra (free) and Qwen3.7 Max have identical context windows (1000K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Nemotron 3 Ultra (free) | Qwen3.7 Max |
|---|---|---|
| Context window | 1,000,000 tokens (1000K) | 1,000,000 tokens (1000K) |
| Max output tokens | 65,536 tokens (65K) | 65,536 tokens (65K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Jun 2026 | May 2026 |
Frequently asked questions
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Use a smaller model.
Get better results.
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