Compare AI models
| 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. | $0.05DeepInfra | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.10DeepInfra | — |
| 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. | 3% | 39% |
| Overview | ||
| Company | OpenAI | |
| Release date | Mar 12 2025 | Sep 15 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Gemma 3vsClaude Haiku 5.5GPT-5-CodexvsClaude Haiku 5.5Gemma 3vsMuse Spark 1.3GPT-5-CodexvsMuse Spark 1.3Gemma 3vsGrok 4.7GPT-5-CodexvsGrok 4.7Gemma 3vsDeepSeek-V4.1-FlashGPT-5-CodexvsDeepSeek-V4.1-FlashGemma 3vsMistral Large 4GPT-5-CodexvsMistral Large 4Gemma 3vsKimi K3GPT-5-CodexvsKimi K3Frequently asked questions
GPT-5-Codex leads Gemma 3 on 1 of the 1 benchmark they both report (BullshitBench v2). Gemma 3 shipped 187 days before GPT-5-Codex, so benchmark comparisons should account for the intervening progress.
Gemma 3 is open weight, while GPT-5-Codex is closed.
On BullshitBench v2, GPT-5-Codex leads at 39% vs Gemma 3 at 3%.