Model comparison
DeepSeek-V3.2-Speciale vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 79× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 0 categories and GPT-5.5 Pro in 1 category; one gap is clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 32.9.
- The biggest single-benchmark swing is SimpleBench: 52.6% for DeepSeek-V3.2-Speciale and 76.9% for GPT-5.5 Pro.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | GPT-5.5 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 64.3 |
| Released | 2025-12-01 | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.58 | $30 |
| Output $ / M tokens | $1.68 | $180 |
| Results tracked | 3 | 14 |
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Category by category
Coding Not comparable
DeepSeek-V3.2-Speciale: 40.4 (#140), GPT-5.5 Pro: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.5 Pro |
|---|---|---|
| WeirdML | 46.7% | — |
Reasoning GPT-5.5 Pro leads
DeepSeek-V3.2-Speciale: 32.9 (#73), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.5 Pro |
|---|---|---|
| SimpleBench | 52.6% | 76.9% |
| ARC-AGI-2 | — | 84.6% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.07 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5.5 Pro: 84.0 (#10)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5.5 Pro: 64.1 (#19)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.0 (#222), GPT-5.5 Pro: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.5 Pro |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 79× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5.5 Pro?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5.5 Pro share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5.5 Pro has 14.