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Superseded by GPT-5.4 for most use cases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-6 Astra — Against GPT-6 Astra (OpenAI), GPT-5.2 runs about 74% cheaper per token, gives up 5.3x on context and answers faster. Take GPT-5.2 unless you specifically need what GPT-6 Astra does better.
vs GPT-5.4 — Against GPT-5.4 (OpenAI), GPT-5.2 runs about 10% cheaper per token and gives up 1.4x on context. Take GPT-5.2 unless you specifically need what GPT-5.4 does better.
vs GPT-5.5 — Against GPT-5.5 (OpenAI), GPT-5.2 runs about 55% cheaper per token and gives up 5x on context. Take GPT-5.2 unless you specifically need what GPT-5.5 does better.
Price History
GPT-5.2 pricing over time
→0% since May 19
64 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.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
Verdict
Best OpenAI flagship for agentic coding, research, and computer-use work.
Quality score
94%
Pricing
$5.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
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?
Grok 4.5 (xAI) at $2.00/1M/1M input against GPT-5.2's $1.75/1M/1M — roughly 49% less per token all in. Best cost-per-solved-task coding agent — efficiency over ceiling. Compare it first if GPT-5.2's pricing is the thing stopping you.
What is a faster alternative to GPT-5.2?
GPT-6 Astra — deliberate against GPT-5.2's balanced, with 1.1M 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.