Model comparison
DeepSeek-V3.2-Speciale vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.3 Codex'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-5.3 Codex in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 39.9.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 79.3% for GPT-5.3 Codex.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 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-5.3 Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.1 | 45.5 |
| Released | 2025-12-01 | 2026-02-05 |
| 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 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
DeepSeek-V3.2-Speciale: 39.9 (#136), GPT-5.3 Codex: 48.5 (#51)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Codex |
|---|---|---|
| WeirdML | 46.7% | 79.3% |
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1408 |
| ALE-Bench | — | 1,655 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, GPT-5.3 Codex: 47.8 (#9)
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
DeepSeek-V3.2-Speciale: 32.1 (#65), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Codex |
|---|---|---|
| SimpleBench | 52.6% | — |
| Epoch Capabilities Index | — | 156.84 |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), GPT-5.3 Codex: —
| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Codex |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5.3 Codex?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is DeepSeek-V3.2-Speciale or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5.3 Codex share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5.3 Codex has 8.