Compare
DeepSeek V4 Flash (free) vs Nemotron 3 Nano Omni (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 Omni (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 Omni (free) have identical context windows (256K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long output (reports, code files)
Use DeepSeek V4 Flash (free). Its 256K max output lets you generate complete artifacts in one request.
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 Omni (free) |
|---|---|---|
| Context window | 256,000 tokens (256K) | 256,000 tokens (256K) |
| Max output tokens | 256,000 tokens (256K) | 65,536 tokens (65K) |
| Speed tier | Fast | Fast |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Apr 2026 | Apr 2026 |
Frequently asked questions
Powered by Mem0
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