Model comparison
GPT-5.2 Pro vs DeepSeek-V3.2-Speciale
- Input
- $1.75 / 1M tokens
- Output
- $14 / 1M tokens
- Context
- 400K
- Released
- 2025-12-11
- Input
- $0.28 / 1M tokens (cache miss)
- Output
- $0.42 / 1M tokens
- Context
- 128K
- Released
- 2025-12-01
GPT-5.2 Pro scores higher on 3 of the 3 benchmarks both models report; DeepSeek-V3.2-Speciale is cheaper on input tokens ($0.3 vs $1.8 per 1M, 6.2×); GPT-5.2 Pro has the larger context window (400K vs 128K); DeepSeek-V3.2-Speciale ships open weights while GPT-5.2 Pro is API-only.
Specs and pricing side by side
| Spec | GPT-5.2 Pro | DeepSeek-V3.2-Speciale |
|---|---|---|
| Maker | OpenAI | DeepSeek |
| Released | 2025-12-11 | 2025-12-01 |
| Context window | 400K | 128K |
| Max output | 128K | 128Ksame |
| Input price | $1.75 / 1M tokens | $0.28 / 1M tokens (cache miss) |
| Output price | $14 / 1M tokens | $0.42 / 1M tokens |
| Parameters | Not disclosed | 671B total / 37B active (MoE) |
| License | Proprietary | MIT |
| Weights | API only | Open weights |
| Modalities | Text, Vision | Text |
| Knowledge cutoff | August 31, 2025 | Not disclosed |
Benchmarks both models report
| Benchmark | GPT-5.2 Pro | DeepSeek-V3.2-Speciale |
|---|---|---|
| GPQA Diamond | 93.2% | 85.7% |
| AIME 2025 | 100% | 96% |
| Humanity's Last Exam | 36.6% | 30.6% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick GPT-5.2 Pro if…
- You care about GPQA Diamond, AIME 2025, Humanity's Last Exam (it scores higher on 3 shared benchmarks).
- You need the longer context (400K vs 128K).
- You need Vision input, which DeepSeek-V3.2-Speciale lacks.
- Your use case is: research-grade questions where a slower, higher-quality answer is worth the wait.
Pick DeepSeek-V3.2-Speciale if…
- Cost matters: input tokens cost 6.2× less ($0.3 vs $1.8 per 1M).
- You want to self-host or fine-tune (open weights, MIT).
- Your use case is: solving competition-grade mathematics and writing formal mathematical proofs.
FAQ
Which is better, GPT-5.2 Pro or DeepSeek-V3.2-Speciale?
GPT-5.2 Pro scores higher on 3 of the 3 benchmarks both models report; DeepSeek-V3.2-Speciale is cheaper on input tokens ($0.3 vs $1.8 per 1M, 6.2×); GPT-5.2 Pro has the larger context window (400K vs 128K); DeepSeek-V3.2-Speciale ships open weights while GPT-5.2 Pro is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is DeepSeek-V3.2-Speciale?
GPT-5.2 Pro: $1.75 / 1M tokens input, $14 / 1M tokens output. DeepSeek-V3.2-Speciale: $0.28 / 1M tokens (cache miss) input, $0.42 / 1M tokens output (list API prices as published by each maker).
What are the context windows of GPT-5.2 Pro and DeepSeek-V3.2-Speciale?
GPT-5.2 Pro offers 400K with up to 128K output; DeepSeek-V3.2-Speciale offers 128K with up to 128K output.
Is GPT-5.2 Pro newer than DeepSeek-V3.2-Speciale?
GPT-5.2 Pro was released 2025-12-11; DeepSeek-V3.2-Speciale was released 2025-12-01.
Go deeper
- GPT-5.2 Pro: full specs, pricing and benchmarks
- DeepSeek-V3.2-Speciale: full specs, pricing and benchmarks
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