Model comparison
DeepSeek-V3.2-Speciale vs GPT-5.2 Codex
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 40.4.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 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-5.2 Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 42.6 |
| Released | 2025-12-01 | 2025-12-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.58 | $1.75 |
| Output $ / M tokens | $1.68 | $14 |
| Results tracked | 3 | 5 |
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Category by category
Coding GPT-5.2 Codex leads
DeepSeek-V3.2-Speciale: 40.4 (#140), GPT-5.2 Codex: 45.5 (#71)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| WeirdML | 46.7% | — |
| ALE-Bench | — | 1,300 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5.2 Codex: 41.0 (#22)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |
Reasoning Not comparable
DeepSeek-V3.2-Speciale: 32.9 (#73), GPT-5.2 Codex: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.2 Codex |
|---|---|---|
| SimpleBench | 52.6% | — |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.0 (#222), GPT-5.2 Codex: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.2 Codex |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than GPT-5.2 Codex?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5.2 Codex?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is DeepSeek-V3.2-Speciale or GPT-5.2 Codex better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 40.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5.2 Codex share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5.2 Codex has 5.