Amazon: Nova Premier 1.0 vs DeepSeek: DeepSeek V3.2 Speciale
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 — 6.1× larger than DeepSeek: DeepSeek V3.2 Speciale's 164K.
- DeepSeek: DeepSeek V3.2 Speciale 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; DeepSeek: DeepSeek V3.2 Speciale is built by DeepSeek.
- Amazon: Nova Premier 1.0 supports vision (image inputs); the other does not.
Specifications
| Amazon: Nova Premier 1.0 | DeepSeek: DeepSeek V3.2 Speciale | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Context window | 1000K | 164K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0025 | $0.0003 |
| Output price / 1K tokens | $0.0125 | $0.0004 |
| Vision support | Yes | No |
| Function calling | No | No |
| License | Proprietary | Open Source |
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 DeepSeek: DeepSeek V3.2 Speciale
CN·OpenDeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...
View DeepSeek: DeepSeek V3.2 Speciale reliability and benchmark history →Try them yourself
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