Compare AI models
| Specifications | ||
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 1M | 200k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.30 | $1.10 |
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. | $2.50 | $4.40 |
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. | $0.03 | $0.55 |
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. | $0.15Google AI Studio | $1.10OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $1.25Google AI Studio | $4.40OpenAI |
| $185Google list price | $440OpenAI list price | |
| These models have no shared benchmark scores. | ||
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. | 19% | — |
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. | — | 49.3% |
| Overview | ||
| Company | OpenAI | |
| Release date | Apr 17 2025 | Jan 31 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
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Gemini 2.5 Flash and o3-mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 2.5 Flash is cheaper on both input and output: $0.30 vs $1.10 per million input tokens, and $2.50 vs $4.40 per million output tokens. o3-mini shipped 76 days before Gemini 2.5 Flash, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.5 Flash) vs 200k (o3-mini).
Direct benchmark comparisons are unavailable — Gemini 2.5 Flash and o3-mini don't publish scores on any of the same benchmarks.