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ClosedOpenAI/10 trustVerified

GPT-4.5 (Orion)

OpenAI's largest-ever trained model, scaled on unsupervised learning before reasoning took over

Retired

GPT-4.5 (Orion) appears to be discontinued or shut down — pulled from API Jul 2025; full sunset mid-2026 This page is kept as an archive record and is excluded from search engines.

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About

GPT-4.5, codenamed Orion, was OpenAI's largest model by training compute when it launched on February 27, 2025. It doubled down on scaling unsupervised pretraining rather than test-time reasoning, and it showed: stronger world knowledge, better writing, and noticeably more emotionally intelligent responses than GPT-4o. But it was not a frontier reasoning model, and at $75/$150 per million tokens it was brutally expensive to serve. OpenAI pulled it from the API on July 14, 2025 in favor of the cheaper GPT-4.1, then removed it from ChatGPT when GPT-5 launched, with a full sunset announced for mid-2026. It remains an interesting historical marker: the last big bet on pure pretraining scale before the industry pivoted to reasoning.

Specs

Context window

128,000 tokens

Pricing

$75 per 1M input tokens, $150 per 1M output tokens (at launch; removed from API July 2025)

Free quota

None — was paid-only; now deprecated

API access

Was OpenAI API (removed July 14, 2025); briefly remained in ChatGPT Pro legacy models

Weights

Closed — API only

Released

February 27, 2025

Benchmarks

Team-reported: outperformed GPT-4o on MMLU across 15 languages

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

Creative writingPersuasive communicationKnowledge-intensive Q&AResearch preview workloads

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Feb 27, 2025 release, Orion codename, $75/$150 pricing verified via Wikipedia + TechCrunch; API removal July 14, 2025 and ChatGPT sunset timeline documented; Largest-ever-trained claim attributed to OpenAI; not-frontier-level caveat captured; Honest framing: historical marker for end of pure-pretraining scaling era.

Sources