Model comparison
DeepSeek-V3.2-Speciale vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 48× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 0 categories and GPT-5 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 32.1.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 60.4% for GPT-5 Pro.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K 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 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.1 | 46.2 |
| Released | 2025-12-01 | 2025-10-06 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 128K | 272K |
| Input $ / M tokens | $0.58 | $15 |
| Output $ / M tokens | $1.68 | $120 |
| Results tracked | 3 | 12 |
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Category by category
Coding GPT-5 Pro leads
DeepSeek-V3.2-Speciale: 39.9 (#136), GPT-5 Pro: 43.4 (#77)
Reasoning GPT-5 Pro leads
DeepSeek-V3.2-Speciale: 32.1 (#65), GPT-5 Pro: 39.2 (#52)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5 Pro |
|---|---|---|
| SimpleBench | 52.6% | 61.6% |
| ARC-AGI-2 | — | 18.3% |
| Kagi LLM Benchmark | — | 76.8% |
| ARC-AGI-1 | — | 70.2% |
| EnigmaEval | — | 18.8% |
| Epoch Capabilities Index | — | 150.26 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5 Pro: 48.0 (#53)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5 Pro: 56.2 (#39)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | — | 31.6% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), GPT-5 Pro: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5 Pro |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 48× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or GPT-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 Pro lists at $15 and $120.
Is DeepSeek-V3.2-Speciale or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5 Pro share?
2 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5 Pro has 12.