| Signal | DeepSeek V3.1 | Delta | Nova Premier 1.0 |
|---|---|---|---|
Capabilities | 57 | +14 | |
Context window size | 72 | -23 | |
Output Capacity | 64 | -11 | |
Pricing Tier | 1 | -12 | |
Recency | 97 | -3 | |
Versatility | 33 | -17 | |
| Overall Result | 1 wins | of 6 | 5 wins |
0
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1
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29
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DeepSeek
Amazon
DeepSeek V3.1 saves you $822.50/month
That's $9870.00/year compared to Nova Premier 1.0 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.1 | Nova Premier 1.0 | Winner |
|---|---|---|---|
| Overall Score | 50 | 56 | Nova Premier 1.0 |
| Rank | #120 | #74 | Nova Premier 1.0 |
| Quality Rank | #120 | #74 | Nova Premier 1.0 |
| Adoption Rank | #120 | #74 | Nova Premier 1.0 |
| Parameters | -- | -- | -- |
| Context Window | 33K | 1000K | Nova Premier 1.0 |
| Pricing | $0.15/$0.75/M | $2.50/$12.50/M | -- |
| Signal Scores | |||
| Capabilities | 57 | 43 | DeepSeek V3.1 |
| Context window size | 72 | 95 | Nova Premier 1.0 |
| Output Capacity | 64 | 75 | Nova Premier 1.0 |
| Pricing Tier | 1 | 13 | Nova Premier 1.0 |
| Recency | 97 | 100 | Nova Premier 1.0 |
| Versatility | 33 | 50 | Nova Premier 1.0 |
Nova Premier 1.0 has a moderate advantage with a 6-point lead in composite score. It wins on more signal dimensions, but DeepSeek V3.1 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
DeepSeek V3.1
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.1
94% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.1
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.1
Stronger community support and better developer experience
Best for Production
DeepSeek V3.1
Wider enterprise adoption and proven at scale
by DeepSeek
Nova Premier 1.0 currently scores higher (56 vs 50), but the best choice depends on your specific use case, budget, and requirements.
DeepSeek V3.1 is ranked #120 and Nova Premier 1.0 is ranked #74. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.