DeepSeek-V3.2vsGPT-5-Codex
DeepSeek-V3.2 | GPT-5-Codex | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.2088GMICloud | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.3096GMICloud | — |
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 13% | 39% |
| Overview | ||
| Company | DeepSeek | OpenAI |
| Release date | Dec 1 2025 | Sep 15 2025 |
| Access | Open Weight | Proprietary |
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Frequently asked questions
GPT-5-Codex leads DeepSeek-V3.2 on 1 of the 1 benchmark they both report (BullshitBench v2). GPT-5-Codex shipped 77 days before DeepSeek-V3.2, so benchmark comparisons should account for the intervening progress.
DeepSeek-V3.2 is open weight, while GPT-5-Codex is proprietary.
On BullshitBench v2, GPT-5-Codex leads at 39% vs DeepSeek-V3.2 at 13%.
DeepSeek-V3.2 was released by DeepSeek on Dec 1 2025.
GPT-5-Codex was released by OpenAI on Sep 15 2025.
DeepSeek-V3.2 is an open weight model released by DeepSeek. GPT-5-Codex is a proprietary model released by OpenAI.