Model comparison
DeepSeek-V3.2-Speciale vs GPT-5-Codex
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GPT-5-Codex in 1 category; 2 gaps are clear of the uncertainty.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 54.5% for GPT-5-Codex.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex 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-Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.1 | 37.3 |
| Released | 2025-12-01 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.58 | $1.25 |
| Output $ / M tokens | $1.68 | $10 |
| Results tracked | 3 | 3 |
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Category by category
Coding GPT-5-Codex leads
DeepSeek-V3.2-Speciale: 39.9 (#136), GPT-5-Codex: 41.9 (#100)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5-Codex |
|---|---|---|
| WeirdML | 46.7% | 54.5% |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5-Codex: 30.8 (#66)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), GPT-5-Codex: 30.0 (#80)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5-Codex |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 70.3% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), GPT-5-Codex: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5-Codex |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than GPT-5-Codex?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.3 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5-Codex?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is DeepSeek-V3.2-Speciale or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5-Codex share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5-Codex has 3.