| Signal | DeepSeek V3.1 Terminus (exacto) | Delta | GPT-5.2 |
|---|---|---|---|
Capabilities | 57 | -29 | |
Context window size | 83 | -6 | |
Output Capacity | 20 | -65 | |
Pricing Tier | 1 | -13 | |
Recency | 100 | -- | |
Versatility | 33 | -33 | |
| Overall Result | 0 wins | of 6 | 5 wins |
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DeepSeek
OpenAI
DeepSeek V3.1 Terminus (exacto) saves you $814.50/month
That's $9774.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.1 Terminus (exacto) | GPT-5.2 | Winner |
|---|---|---|---|
| Overall Score | 47 | 68 | GPT-5.2 |
| Rank | #150 | #13 | GPT-5.2 |
| Quality Rank | #150 | #13 | GPT-5.2 |
| Adoption Rank | #150 | #13 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 400K | GPT-5.2 |
| Pricing | $0.21/$0.79/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 57 | 86 | GPT-5.2 |
| Context window size | 83 | 89 | GPT-5.2 |
| Output Capacity | 20 | 85 | GPT-5.2 |
| Pricing Tier | 1 | 14 | GPT-5.2 |
| Recency | 100 | 100 | DeepSeek V3.1 Terminus (exacto) |
| Versatility | 33 | 67 | GPT-5.2 |
GPT-5.2 clearly outperforms DeepSeek V3.1 Terminus (exacto) with a significant 21.200000000000003-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, DeepSeek V3.1 Terminus (exacto) may still excel in niche scenarios.
Best for Quality
DeepSeek V3.1 Terminus (exacto)
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.1 Terminus (exacto)
94% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.1 Terminus (exacto)
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.1 Terminus (exacto)
Stronger community support and better developer experience
Best for Production
DeepSeek V3.1 Terminus (exacto)
Wider enterprise adoption and proven at scale
by DeepSeek
GPT-5.2 currently scores higher (68 vs 47), but the best choice depends on your specific use case, budget, and requirements.
DeepSeek V3.1 Terminus (exacto) is ranked #150 and GPT-5.2 is ranked #13. 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.