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Minimax M2 Maas vs Openai Gpt 4o Mini
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.
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 M2 Maas has about 1.5× the context window of the other in this pair.
Minimax M2 Maas has 53% more context capacity (196K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Minimax M2 Maas. Its 196K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Minimax M2 Maas | Openai Gpt 4o Mini |
|---|---|---|
| Context window | 196,608 tokens (196K) | 128,000 tokens (128K) |
| Max output tokens | 196,608 tokens (196K) | N/A |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | Yes |
| 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 | Minimax M2 Maas in | Minimax M2 Maas out | Openai Gpt 4o Mini in | Openai Gpt 4o Mini out |
|---|---|---|---|---|
| Google Vertex | $0.300/M | $1.20/M | — | — |
| Gradient | — | — | — | — |
Frequently asked questions
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