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GPT-4.5 Preview

API ID gpt-4.5-preview

gpt-4.5-preview was a preview OpenAI model. It had a 128,000-token context window and up to 16,384 output tokens. It took image input and supported function calling and structured outputs.

Status
Retired
Released
—
Shutdown
Jul 14, 2025
Replacement
GPT-4.1gpt-4.1

gpt-4.5-preview stopped serving on July 14, 2025. Recommended replacement: gpt-4.1.

How to migrate to GPT-4.1

Benchmarks

Scores as each source published them
or

Comparing with GPT-4.1, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features

Arena

ArenaGPT-4.5 PreviewGPT-4.1ChangeRankDateSource
Text
By category
  • Math 1408 rank 149 vs 1375 (+33)
  • Creative writing 1436 rank 63 vs 1403 (+33)
  • Instruction following 1437 rank 85 vs 1403 (+34)
  • Hard prompts 1440 rank 133 vs 1432 (+8, within range)
  • Long prompts 1443 rank 102 vs 1426 (+17, within range)
  • Multi-turn 1466 rank 69 vs 1430 (+36)
  • Expert 1429 rank 145 vs 1405 (+24, within range)
1445 ±61415 ±4+3088 of 415
14,547 votes
Oct 13, 2026source
Text: Coding1458 ±131456 ±7+2
within range
143 of 410
1,939 votes
Oct 13, 2026source
Vision1225 ±121214 ±7+11
within range
77 of 165
2,925 votes
Oct 9, 2026source

Rated as gpt-4.5-preview-2025-02-27; GPT-4.1 as gpt-4.1-2025-04-14. Ratings come from people voting between two anonymous answers; Text and Vision are style-controlled, as on arena.ai. Data: Arena (arena.ai), CC BY 4.0.

Epoch AI

BenchmarkGPT-4.5 PreviewGPT-4.1ChangeSettingRunSource
GPQA Diamond68.7%66.9%+1.8 ptsFeb 28, 2025source
MATH Level 578.6%83.0%−4.4 ptsFeb 28, 2025source
OTIS Mock AIME 2024-202537.8%38.3%−0.5 ptsFeb 28, 2025source

Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

Currently points to gpt-4.5-preview-2025-02-27 (in place when tracking began (October 7, 2026)).

FeatureValueSinceSource
Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup.Supportedin place when tracking began (October 6, 2026)source
Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result.Supportedin place when tracking began (October 6, 2026)source
Prompt cachingA prompt prefix you send again and again (system prompt, documents, tools) is cached, so later requests cost less and start faster.Supportedin place when tracking began (October 6, 2026)source
Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests.Supportedin place when tracking began (October 6, 2026)source
Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read.Supportedin place when tracking began (October 6, 2026)source
Fine-tuningYou can train your own version of the model on your examples through the company's API, then call it like any other model.Not supportedin place when tracking began (October 6, 2026)source
Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word.128,000 tokensin place when tracking began (October 6, 2026)source
Max output tokensThe longest reply the model can write in one response, in tokens. A token is about three-quarters of an English word.16,384 tokensin place when tracking began (October 6, 2026)source

Not published by OpenAI: PDF input, Reasoning / thinking, Built-in web search, temperature parameter, top_p parameter, logprobs.

Price history

USD per 1M tokens, standard tier

No price history yet.

Prices

USD per 1M tokens, every type and band, by tier

No published prices.

Changelog

Changes we detected on OpenAI's pages

No changes recorded yet.

Last checked · Sources: OpenAI deprecations, OpenAI pricing, OpenAI models