LLM Comparison
DeepSeek V3.2 vs Nova Micro 1.0
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | ||
| Family | DeepSeek | Nova |
| Status | Current | Current |
| Release Date | Dec 2025 | Dec 2024 |
| Context Window | 164K tokens | 128K tokens |
| Input Price | $0.26/M tokens | $0.04/M tokens |
| Output Price | $0.42/M tokens | $0.14/M tokens |
| Pricing Notes | Cache read: $0.1350/M tokens | — |
| Capabilities | textcode | textcode |
| Max Output | 164K tokens | — |
| API Identifier | deepseek/deepseek-v3.2 | amazon/nova-micro-v1 |
| Benchmarks | ||
| AIME 2025 | 59%artificial-analysis | — |
| GPQA Diamond | 75.1%artificial-analysis | — |
| View DeepSeek V3.2 | View Nova Micro 1.0 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Nova Micro 1.0Cheapest | $0.04 | $0.07 | $0.11 | — |
| DeepSeek V3.2 | $0.26 | $0.21 | $0.47 | +347% |
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Compare two exact setups, including different configurations of the same model. Hardware fit, measured speed and costs are separate decisions.
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DeepSeek
DeepSeek V3.2
DeepSeek V3.2 is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.26/M input tokens.
Amazon
Nova Micro 1.0
Nova Micro 1.0 is Amazon's text-only model for fast, low-cost tasks including summarization, translation, and classification. Amazon documents a 128K-token context window for the Bedrock model.
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