Amazon: Nova Premier 1.0 vs MiniMax: MiniMax M2.7
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Amazon: Nova Premier 1.0 has a 1000K-token context window — 4.9× larger than MiniMax: MiniMax M2.7's 205K.
- MiniMax: MiniMax M2.7 is 89% cheaper per 1K input tokens than Amazon: Nova Premier 1.0 ($0.0003 vs $0.0025).
- Amazon: Nova Premier 1.0 is built by Amazon; MiniMax: MiniMax M2.7 is built by MiniMax.
- Amazon: Nova Premier 1.0 supports vision (image inputs); the other does not.
Specifications
| Amazon: Nova Premier 1.0 | MiniMax: MiniMax M2.7 | |
|---|---|---|
| Provider | Amazon | MiniMax |
| Context window | 1000K | 205K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0025 | $0.0003 |
| Output price / 1K tokens | $0.0125 | $0.0012 |
| Vision support | Yes | No |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About Amazon: Nova Premier 1.0
US·ClosedAmazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
View Amazon: Nova Premier 1.0 reliability and benchmark history →About MiniMax: MiniMax M2.7
CN·ClosedMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
View MiniMax: MiniMax M2.7 reliability and benchmark history →Try them yourself
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