Strong structured reasoning for product and technical workflows
Solid default for teams that want one premium OpenAI model
Weaknesses
Superseded by GPT-5.4 for most use cases
Claude Sonnet 4.6 leads on both coding and writing quality
Real-world use cases
What people actually use GPT-5.2 for.
Production-grade code reviews for complex multi-service systems
Structured technical documentation for engineering teams
Research synthesis with careful citations and structured output
How GPT-5.2 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 — Against GPT-4 (OpenAI), GPT-5.2 runs about 83% cheaper per token and takes 24.4x the context. Take GPT-5.2 unless you specifically need what GPT-4 does better.
vs GPT-4 (older v0314) — Against GPT-4 (older v0314) (OpenAI), GPT-5.2 runs about 83% cheaper per token and takes 24.4x the context. Take GPT-5.2 unless you specifically need what GPT-4 (older v0314) does better.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-5.2 runs about 61% cheaper per token and takes 1.6x the context. Take GPT-5.2 unless you specifically need what GPT-4 Turbo does better.
Price History
GPT-5.2 pricing over time
→0% since May 19
74 data points · tracked daily since May 19, 2026
Ready to try it?
Start using GPT-5.2
Serious coding and complex product work. Start free — no card required.
GPT-4 is OpenAI's original flagship large language model, released in March 2023, offering strong reasoning and instruction-following across text tasks. It represents the foundational GPT-4 release before later variants like GPT-4 Turbo or GPT-4o improved speed, cost, and context length.
Verdict
A once-groundbreaking model now badly outclassed by cheaper, faster, and more capable successors — only use it if you have no choice.
Quality score
51%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
At $30/$60 per million tokens, this is one of the most expensive text-only models available. The 8,191-token context window is a hard ceiling that makes it unsuitable for most document-processing tasks. OpenAI continues to offer it for API backward compatibility but actively recommends migrating to GPT-4o or GPT-4 Turbo. New projects should not default to this model.
Legacy flagshipText-onlyHigh costOpenAIGPT-4
Best for
Teams or workflows locked into the original GPT-4 API that require reliable, high-quality text reasoning without needing long context or multimodal input.
GPT-4 v0314 is a frozen snapshot of the original GPT-4 release from March 2023, preserved for reproducibility and regression testing. It offers the same core reasoning capabilities as early GPT-4 but lacks all subsequent improvements, fine-tuning updates, and safety refinements.
Verdict
An expensive museum piece: only justified if you need this exact model snapshot for legacy reproducibility.
Quality score
40%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
This is a frozen March 2023 snapshot of GPT-4, not a current model. OpenAI may deprecate legacy snapshots with limited notice. The 8,191-token context window is a hard constraint. Cost is identical to much more capable current models, making this a poor choice for new projects.
LegacyGPT-4Version-lockedResearchDeprecated
Best for
Reproducible research or legacy workflows that require consistent, version-locked GPT-4 outputs.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
GPT-5.2 costs $1.75 per million input tokens and $14 per million output tokens on the API, with cached input at $0.175 per million. A month of 10M input and 2M output tokens runs about $45.50 at list price, before any batch or caching discounts.
What is the context window of GPT-5.2?
GPT-5.2 has a 400k tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-5.2?
GPT-5.2's training data runs through October 2024, and the model was released on December 11, 2025. For anything after that date it needs web search or documents in the prompt.
What is GPT-5.2 best for?
GPT-5.2 is best for serious coding and complex product work. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
When should I avoid GPT-5.2?
You're starting a new project — GPT-5.4 is cheaper and more capable.
What is a cheaper alternative to GPT-5.2?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5.2's $1.75/1M/1M — roughly 29% less per token all in. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5.2's pricing is the thing stopping you.
What is a faster alternative to GPT-5.2?
GPT-4 — balanced against GPT-5.2's balanced, with 8k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
Newsletter
Get notified when GPT-5.2 pricing changes
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.