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Favicon for openai

OpenAI: GPT-5.2

openai/gpt-5.2

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GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks.

Built for broad task coverage, GPT-5.2 delivers consistent gains across math, coding, sciende, and tool calling workloads, with more coherent long-form answers and improved tool-use reliability.

Modalities
In / Out Price
$1.75 / $14per 1M
Context
400K
Released
Dec 10, 2025
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-5.2 (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-5.2 (Xhigh) Intelligence Index30.4
Artificial AnalysisGPT-5.2 (Xhigh) Math Index99.0
Artificial AnalysisGPT-5.2 (Xhigh) GPQA Diamond90.3%
Artificial AnalysisGPT-5.2 (Xhigh) HLE37.7%
Artificial AnalysisGPT-5.2 (Xhigh) IFBench75.4%
Artificial AnalysisGPT-5.2 (Xhigh) τ²-Bench Telecom84.8%
Artificial AnalysisGPT-5.2 (Xhigh) AA-LCR82.7%
Artificial AnalysisGPT-5.2 (Xhigh) CritPt11.6%
Artificial AnalysisGPT-5.2 (Xhigh) LiveCodeBench88.9%
Artificial AnalysisGPT-5.2 (Xhigh) Terminal-Bench Hard47.0%
Artificial AnalysisGPT-5.2 (Xhigh) MMLU-Pro87.4%
Artificial AnalysisGPT-5.2 (Xhigh) AA-Omniscience Accuracy44.3%
Artificial AnalysisGPT-5.2 (Xhigh) AA-Omniscience Non-Hallucination Rate18.8%
Artificial AnalysisGPT-5.2 (Xhigh) AIME 202599.0%
Artificial AnalysisGPT-5.2 (Medium) Intelligence Index26.5
Artificial AnalysisGPT-5.2 (Medium) Math Index96.7
Artificial AnalysisGPT-5.2 (Medium) GPQA Diamond86.4%
Artificial AnalysisGPT-5.2 (Medium) HLE26.7%
Artificial AnalysisGPT-5.2 (Medium) IFBench65.2%
Artificial AnalysisGPT-5.2 (Medium) τ²-Bench Telecom74.3%
Artificial AnalysisGPT-5.2 (Medium) AA-LCR70.3%
Artificial AnalysisGPT-5.2 (Medium) CritPt7.9%
Artificial AnalysisGPT-5.2 (Medium) LiveCodeBench89.4%
Artificial AnalysisGPT-5.2 (Medium) Terminal-Bench Hard43.2%
Artificial AnalysisGPT-5.2 (Medium) MMLU-Pro85.9%
Artificial AnalysisGPT-5.2 (Medium) AA-Omniscience Accuracy38.3%
Artificial AnalysisGPT-5.2 (Medium) AA-Omniscience Non-Hallucination Rate38.4%
Artificial AnalysisGPT-5.2 (Medium) AIME 202596.7%
Artificial AnalysisGPT-5.2 (Non-reasoning) Intelligence Index17.0
Artificial AnalysisGPT-5.2 (Non-reasoning) Math Index51.0
Artificial AnalysisGPT-5.2 (Non-reasoning) GPQA Diamond71.2%
Artificial AnalysisGPT-5.2 (Non-reasoning) HLE8.0%
Artificial AnalysisGPT-5.2 (Non-reasoning) IFBench47.4%
Artificial AnalysisGPT-5.2 (Non-reasoning) τ²-Bench Telecom46.5%
Artificial AnalysisGPT-5.2 (Non-reasoning) AA-LCR45.7%
Artificial AnalysisGPT-5.2 (Non-reasoning) τ-Bench Banking11.1%
Artificial AnalysisGPT-5.2 (Non-reasoning) CritPt0.6%
Artificial AnalysisGPT-5.2 (Non-reasoning) LiveCodeBench66.9%
Artificial AnalysisGPT-5.2 (Non-reasoning) Terminal-Bench Hard31.8%
Artificial AnalysisGPT-5.2 (Non-reasoning) MMLU-Pro81.4%
Artificial AnalysisGPT-5.2 (Non-reasoning) AA-Omniscience Accuracy30.8%
Artificial AnalysisGPT-5.2 (Non-reasoning) AA-Omniscience Non-Hallucination Rate37.7%
Artificial AnalysisGPT-5.2 (Non-reasoning) AIME 202551.0%
Design ArenaGPT-5.2 (Low) Models Arena 3D Elo1082
Design ArenaGPT-5.2 (Low) Models Arena Asciiart Elo1163
Design ArenaGPT-5.2 (Low) Models Arena Code Categories Elo1172
Design ArenaGPT-5.2 (Low) Models Arena Data Visualization Elo1195
Design ArenaGPT-5.2 (Low) Models Arena Game Development Elo1208
Design ArenaGPT-5.2 (Low) Models Arena SVG Elo1135
Design ArenaGPT-5.2 (Low) Models Arena UI Component Elo1165
Design ArenaGPT-5.2 (Low) Models Arena Website Elo1183
Vals AIGPT 5.2 AIME96.9%
Vals AIGPT 5.2 CaseLaw v266.0%
Vals AIGPT 5.2 CorpFin v265.9%
Vals AIGPT 5.2 Finance Agent v1.158.5%
Vals AIGPT 5.2 GPQA Diamond91.7%
Vals AIGPT 5.2 IOI v154.8%
Vals AIGPT 5.2 LiveCodeBench85.4%
Vals AIGPT 5.2 LegalBench82.8%
Vals AIGPT 5.2 MedCode49.7%
Vals AIGPT 5.2 MedQA94.1%
Vals AIGPT 5.2 MedScribe84.4%
Vals AIGPT 5.2 MGSM94.0%
Vals AIGPT 5.2 MMLU Pro86.2%
Vals AIGPT 5.2 MMMU Pro86.7%
Vals AIGPT 5.2 MortgageTax67.1%
Vals AIGPT 5.2 ProofBench v115.0%
Vals AIGPT 5.2 Vals RSI Index15.8%
Vals AIGPT 5.2 SAGE49.3%
Vals AIGPT 5.2 SWE-bench75.8%
Vals AIGPT 5.2 TaxEval v275.8%
Vals AIGPT 5.2 Terminal-Bench 2.051.7%
Vals AIGPT 5.2 Vals Index64.5%
Vals AIGPT 5.2 Vals Multimodal Index63.7%
Vals AIGPT 5.2 Vibe Code Bench v1.153.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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P50, best across providers

Latency
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P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.97%

Availability over the last 3 days

Last 72 hours
Availability 99.97%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.97%
Without Routing
99.73%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks.

GPT-5.2 costs $1.75/M input tokens and $14.00/M output tokens, with separate rates for Cache Read at $0.175/M tokens.

GPT-5.2 has a 400,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.2 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5.2 accepts files such as PDFs, images, and text as input and returns text.

GPT-5.2 is served by 2 providers on OpenRouter: OpenAI and Azure. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-5.2 was released on December 10, 2025.

More models from OpenAI

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

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GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

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GPT-6 Astra Pro

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Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Astra Pro

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Astra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Astra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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