How much does GPT-5.2 cost?

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.

What is the context length of GPT-5.2?

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

Does GPT-5.2 support tool calling and structured outputs?

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

What inputs and outputs does GPT-5.2 support?

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

Which providers serve GPT-5.2?

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.

When was GPT-5.2 released?

GPT-5.2 was released on December 10, 2025.

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

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), or Floor (cheapest).

Latency / throughput


	$1.75	$14.00	$0.175	1.79s	41 tok/s	100.00%
	$1.75	$14.00	$0.175	3.93s	53 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.875	$7.00	$0.0875	2.27s	40 tok/s	100.00%
Fast	$3.50	$28.00	$0.35	--	--	100.00%

Input $1.75Output $14.00
41 tok/s100.00% uptime
Input $1.75Output $14.00
53 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.875Output $7.00
Flex
40 tok/s100.00% uptime
Input $3.50Output $28.00
Fast
-- tok/s100.00% uptime

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.

Weighted average

Input

$0.7879/M tokens

Output

$13.96/M tokens

GPT-5.2 — Price history

Price history

No effective price data for this selection

		$0.730	$14.00	64.8%	86.0%
		$1.158	$14.00	37.6%	13.7%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.607	$7.00	34.0%	0.3%
	Fast	$3.499	$28.00	0.0%	0.0%

Effective in $0.730Effective out $14.00
Token share
86.0%
Effective in $1.158Effective out $14.00
Token share
13.7%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.607Effective out $7.00
FlexToken share
0.3%
Effective in $3.499Effective out $28.00
FastToken share
0.0%

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.

Uptime (3d)

100.00%

Availability (3d)

99.95%

Availability over the last 3 days

Last 72 hours

Availability 99.95%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.96%

Without Routing

99.92%

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 provider routing options.

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)
Source	Benchmark	Score
Artificial Analysis	GPT-5.2 (Non-reasoning) GPQA Diamond	71.2%
Artificial Analysis	GPT-5.2 (Non-reasoning) HLE	8.0%
Artificial Analysis	GPT-5.2 (Non-reasoning) IFBench	47.4%
Artificial Analysis	GPT-5.2 (Non-reasoning) τ²-Bench Telecom	46.5%
Artificial Analysis	GPT-5.2 (Non-reasoning) AA-LCR	45.7%
Artificial Analysis	GPT-5.2 (Non-reasoning) τ-Bench Banking	11.1%
Artificial Analysis	GPT-5.2 (Non-reasoning) CritPt	0.6%
Artificial Analysis	GPT-5.2 (Non-reasoning) LiveCodeBench	66.9%
Artificial Analysis	GPT-5.2 (Non-reasoning) Terminal-Bench Hard	31.8%
Artificial Analysis	GPT-5.2 (Non-reasoning) MMLU-Pro	81.4%
Artificial Analysis	GPT-5.2 (Non-reasoning) AIME 2025	51.0%
Artificial Analysis	GPT-5.2 (Medium) GPQA Diamond	86.4%
Artificial Analysis	GPT-5.2 (Medium) HLE	26.7%
Artificial Analysis	GPT-5.2 (Medium) IFBench	65.2%
Artificial Analysis	GPT-5.2 (Medium) τ²-Bench Telecom	74.3%
Artificial Analysis	GPT-5.2 (Medium) AA-LCR	70.3%
Artificial Analysis	GPT-5.2 (Medium) CritPt	7.9%
Artificial Analysis	GPT-5.2 (Medium) LiveCodeBench	89.4%
Artificial Analysis	GPT-5.2 (Medium) Terminal-Bench Hard	43.2%
Artificial Analysis	GPT-5.2 (Medium) MMLU-Pro	85.9%
Artificial Analysis	GPT-5.2 (Medium) AIME 2025	96.7%
Artificial Analysis	GPT-5.2 (Xhigh) GPQA Diamond	90.3%
Artificial Analysis	GPT-5.2 (Xhigh) HLE	37.7%
Artificial Analysis	GPT-5.2 (Xhigh) IFBench	75.4%
Artificial Analysis	GPT-5.2 (Xhigh) τ²-Bench Telecom	84.8%
Artificial Analysis	GPT-5.2 (Xhigh) AA-LCR	82.7%
Artificial Analysis	GPT-5.2 (Xhigh) CritPt	11.6%
Artificial Analysis	GPT-5.2 (Xhigh) LiveCodeBench	88.9%
Artificial Analysis	GPT-5.2 (Xhigh) Terminal-Bench Hard	47.0%
Artificial Analysis	GPT-5.2 (Xhigh) MMLU-Pro	87.4%
Artificial Analysis	GPT-5.2 (Xhigh) AIME 2025	99.0%
Design Arena	GPT-5.2 (Low) Models Arena 3D Elo	1047
Design Arena	GPT-5.2 (Low) Models Arena Asciiart Elo	1147
Design Arena	GPT-5.2 (Low) Models Arena Code Categories Elo	1155
Design Arena	GPT-5.2 (Low) Models Arena Data Visualization Elo	1183
Design Arena	GPT-5.2 (Low) Models Arena Game Development Elo	1184
Design Arena	GPT-5.2 (Low) Models Arena SVG Elo	1125
Design Arena	GPT-5.2 (Low) Models Arena UI Component Elo	1149
Design Arena	GPT-5.2 (Low) Models Arena Website Elo	1168
Vals AI	GPT 5.2 AIME	96.9%
Vals AI	GPT 5.2 CaseLaw v2	66.0%
Vals AI	GPT 5.2 CorpFin v2	65.9%
Vals AI	GPT 5.2 Finance Agent v1.1	58.5%
Vals AI	GPT 5.2 GPQA Diamond	91.7%
Vals AI	GPT 5.2 IOI v1	54.8%
Vals AI	GPT 5.2 LiveCodeBench	85.4%
Vals AI	GPT 5.2 LegalBench	82.8%
Vals AI	GPT 5.2 MedCode	49.7%
Vals AI	GPT 5.2 MedQA	94.1%
Vals AI	GPT 5.2 MedScribe	84.4%
Vals AI	GPT 5.2 MGSM	94.0%
Vals AI	GPT 5.2 MMLU Pro	86.2%
Vals AI	GPT 5.2 MMMU Pro	86.7%
Vals AI	GPT 5.2 MortgageTax	67.1%
Vals AI	GPT 5.2 ProofBench v1	15.0%
Vals AI	GPT 5.2 Vals RSI Index	15.8%
Vals AI	GPT 5.2 SAGE v1	49.3%
Vals AI	GPT 5.2 SWE-bench	75.8%
Vals AI	GPT 5.2 TaxEval v2	75.8%
Vals AI	GPT 5.2 Terminal-Bench 2.0	51.7%
Vals AI	GPT 5.2 Vals Index	64.5%
Vals AI	GPT 5.2 Vals Multimodal Index	63.7%
Vals AI	GPT 5.2 Vibe Code Bench v1.1	53.5%

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.

HighLevel

new

60.2Btokens

AvBot

new

1.34Btokens

POWR Support

new

910Mtokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

891Mtokens

taubench-eval

new

768Mtokens

Rest of OpenRouter

1.55B

Top 5 Apps

52.3M

Not currently available through EU in-region routing. In-region routing docs

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OpenAI: GPT-5.2

Providers