Compare AI models
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $1.25 | $1.25 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $10.00 | $10.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.125 | $0.125 |
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. | $0.625Google AI Studio | $1.25Azure |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $5.00Google AI Studio | $10.00Azure |
| $750Google list price | $750OpenAI list price | |
| 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. | 20% | 21% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 59.6% | — |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 18.8% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 86.4% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 68% | — |
| Overview | ||
| Company | OpenAI | |
| Release date | Mar 25 2025 | Aug 7 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 2.5 ProvsClaude Haiku 5.5GPT-5vsClaude Haiku 5.5Gemini 2.5 ProvsMuse WonderGPT-5vsMuse WonderGemini 2.5 ProvsGrok 4.7GPT-5vsGrok 4.7Gemini 2.5 ProvsDeepSeek-V4.1-FlashGPT-5vsDeepSeek-V4.1-FlashGemini 2.5 ProvsMistral Large 4GPT-5vsMistral Large 4Gemini 2.5 ProvsKimi K3GPT-5vsKimi K3Frequently asked questions
GPT-5 leads Gemini 2.5 Pro on 1 of the 1 benchmark they both report (BullshitBench v2). Both charge $1.25 per million input tokens. Both charge $10.00 per million output tokens. Figures are base-tier rates. Gemini 2.5 Pro shipped 135 days before GPT-5, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On BullshitBench v2, GPT-5 leads at 21% vs Gemini 2.5 Pro at 20%.