Compare
DeepSeek V4 Flash (free) vs Nemotron 3 Nano 30B A3B (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
DeepSeek V4 Flash (free)
Context window
256K
256,000 tokens · ~192K words
Model
Nemotron 3 Nano 30B A3B (free)
Context window
256K
256,000 tokens · ~192K 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.
DeepSeek V4 Flash (free) and Nemotron 3 Nano 30B A3B (free) have identical context windows (256K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | DeepSeek V4 Flash (free) | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| Context window | 256,000 tokens (256K) | 256,000 tokens (256K) |
| Max output tokens | 256,000 tokens (256K) | N/A |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Apr 2026 | Dec 2025 |
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