Compare
Gov Nvidia Nemotron Nano 3 30b vs Minimax M3p1 Flash
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
Gov Nvidia Nemotron Nano 3 30b
Context window
262K
262,144 tokens · ~197K words
Model
Minimax M3p1 Flash
Context window
1.0M
1,048,576 tokens · ~786K 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.
Minimax M3p1 Flash has about 4× the context window of the other in this pair.
Minimax M3p1 Flash has 300% more context capacity (1048K vs 262K tokens). Gov Nvidia Nemotron Nano 3 30b is 52% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Minimax M3p1 Flash. Its 1048K context fits entire documents without chunking (vs 262K).
RAG / high-volume retrieval
Use Gov Nvidia Nemotron Nano 3 30b. Input tokens are 52% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Minimax M3p1 Flash. Its 1048K 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 | Gov Nvidia Nemotron Nano 3 30b | Minimax M3p1 Flash |
|---|---|---|
| Context window | 262,144 tokens (262K) | 1,048,576 tokens (1048K) |
| Max output tokens | 8,192 tokens (8K) | 1,048,576 tokens (1048K) |
| Speed tier | Fast | Fast |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | N/A | N/A |
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 | Gov Nvidia Nemotron Nano 3 30b in | Gov Nvidia Nemotron Nano 3 30b out | Minimax M3p1 Flash in | Minimax M3p1 Flash out |
|---|---|---|---|---|
| Aws Bedrock | $0.072/M | $0.288/M | — | — |
| Fireworks | — | — | $0.150/M | $0.600/M |
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