| Context window | 200,000 tokens |
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| Maximum output | 100,000 tokens |
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| Knowledge cutoff | Jun 1, 2024 |
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| Input | Text, image |
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| Launch API price per 1M tokens (input / output) | o3 $10 / $40; o4-mini $1.10 / $4.40 |
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From OpenAI's API model pages (which now show later, lower prices) with launch prices from Simon Willison's launch-day page; OpenAI's benchmark charts are images that were not readable, so only the SWE-bench Verified figures relayed by TechCrunch are charted. · source
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored on o3 (the flagship; o4-mini shares the 200K window and text+image input, and launched at $1.10/$4.40 per 1M). Context 200K scores 2; text and image input scores 3. Price uses the launch list price of $10 input / $40 output per 1M (blended 17.50 at 3:1, between the 12 and 25 anchors, so 1.5), confirmed on Simon Willison's launch page; OpenAI's model page opened this run now shows the later cut price of $2/$8, which is not used. Reasoning, coding and speed are null: no launch-day Artificial Analysis Intelligence Index entry or Terminal-Bench figure was opened (OpenAI's SWE-bench Verified 69.1% is not an anchor benchmark) and no speed is published. Three independent pages found: TechCrunch, Simon Willison, and a transcript mirror of AI Explained's video; none ran a systematic hands-on test, searches for more hands-on reviews were mostly blocked or aggregators. developers.openai.com
OpenAI says that o3 achieves state-of-the-art performance on SWE-bench verified (without custom scaffolding), a test measuring coding abilities, scoring 69.1%.
o3 is $10/million input and $40/million for output, with a 75% discount on cached input tokens, 200,000 token context window, 100,000 max output tokens and a May 31st 2024 training cut-off (same as the GPT-4.1 models).
So, if you ignore the headlines and drown out the hype, which is to be honest good advice for all times in life, o3 represents genuine progress. Well done to OpenAI.
| OpenAI launches a pair of AI reasoning models, o3 and o4-mini | TechCrunch · Apr 16, 2025 | 0.60 |
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| Introducing OpenAI o3 and o4-mini · Apr 16, 2025 | 0.10 |
| o3 and o4-mini - they’re great, but easy to over-hype — AI Explained — Rosetta · Apr 16, 2025 | 0.60 |
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OpenAI's own model release notes date this entry April 16, 2025
States OpenAI[1] released o3 and o4-mini on April 16, 2025.
TechCrunch report dated April 16, 2025 on the o3 and o4-mini launch.
Archived copy of OpenAI's[1] o3 and o4-mini announcement, which says o3 "sets a new SOTA on benchmarks including Codeforces, SWE-bench ... and MMMU", makes "20 percent fewer major errors than OpenAI o1", and o4-mini "achieves 99.5% pass@1" on AIME 2025 with Python.
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