Compare
MiniMax M3 (batch) vs Nova 2 Lite
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
MiniMax M3 (batch)
Context window
524K
524,288 tokens · ~393K words
Model
Nova 2 Lite
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.
Nova 2 Lite has about 1.9× the context window of the other in this pair.
Nova 2 Lite has 90% more context capacity (1000K vs 524K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Nova 2 Lite. Its 1000K context fits entire documents without chunking (vs 524K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | MiniMax M3 (batch) | Nova 2 Lite |
|---|---|---|
| Context window | 524,288 tokens (524K) | 1,000,000 tokens (1000K) |
| Max output tokens | N/A | 65,535 tokens (65K) |
| Speed tier | Fast | Balanced |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | May 2026 | Dec 2025 |
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