Compare AI models
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.02DeepInfra | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.04DeepInfra | — |
| $6.00DeepInfra · fp8 | — | |
| 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. | 14% | 39% |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Jul 23 2024 | Sep 15 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
LLaMA 3.1vsClaude Haiku 5.5GPT-5-CodexvsClaude Haiku 5.5LLaMA 3.1vsGemini 4 ArgonGPT-5-CodexvsGemini 4 ArgonLLaMA 3.1vsGrok 4.7GPT-5-CodexvsGrok 4.7LLaMA 3.1vsDeepSeek-V4.1-FlashGPT-5-CodexvsDeepSeek-V4.1-FlashLLaMA 3.1vsMistral Large 4GPT-5-CodexvsMistral Large 4LLaMA 3.1vsKimi K3GPT-5-CodexvsKimi K3Frequently asked questions
GPT-5-Codex leads LLaMA 3.1 on 1 of the 1 benchmark they both report (BullshitBench v2). LLaMA 3.1 shipped 419 days before GPT-5-Codex, so benchmark comparisons should account for the intervening progress.
LLaMA 3.1 is open weight, while GPT-5-Codex is closed.
On BullshitBench v2, GPT-5-Codex leads at 39% vs LLaMA 3.1 at 14%.