GPT-5.2

by OpenAIopenai/gpt-5.2

  • Text
  • No route yet
  • Released

LLMCompare cannot run GPT-5.2 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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GPT-5.2 at a glance

Context length
400,000 tokens
Maximum output
128,000 tokens
Accepts
Text, Image, File
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
xhighhighmediumlownoneReasoning can be turned off.
Released
10 Dec 2025
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

GPT-5.2 pricing by route

A route is the service LLMCompare calls to reach the model. GPT-5.2 has 1 route. Prices are in US dollars.

Prices of GPT-5.2 on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$1.75$14.00$0.175openrouter.ai/openai/gpt-5.2

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to GPT-5.2 costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.0088
11 credits
Cost of 100 calls
$0.875
1,100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of GPT-5.2
ParameterTypeRange or optionsDefault
max_tokensInteger1 to 128,000Provider default
reasoning_effortOne ofxhighhighmediumlownonemedium
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About GPT-5.2

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...

Description as published for this model. LLMCompare has not edited it.

Models to compare with GPT-5.2

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with GPT-5.2
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
GPT-5.3-CodexOpenAIopenai/gpt-5.3-codex400k128k$1.75$14.00ReasoningJSONToolsCacheVisionNo route yet
GPT-5.2-CodexOpenAIopenai/gpt-5.2-codex400k128k$1.75$14.00ReasoningJSONToolsCacheVisionNo route yet
GPT-5.2 ChatOpenAIopenai/gpt-5.2-chat128k32k$1.75$14.00JSONToolsCacheVisionNo route yet
Qwen3.8 Max PrimeQwenqwen/qwen3.8-max-prime1M131k$4.00$12.00ReasoningJSONToolsCacheVisionNo route yet
Nova Premier 1.0Amazonamazon/nova-premier-v11M32k$2.50$12.50ToolsCacheVisionNo route yet
Gemini 3.1 Pro Preview Custom ToolsGooglegoogle/gemini-3.1-pro-preview-customtools1.05M65.5k$2.00$12.00ReasoningJSONToolsCacheVisionNo route yet

Questions about GPT-5.2

How much does GPT-5.2 cost?
On the OpenRouter route, GPT-5.2 costs $1.75 per 1 million input tokens and $14.00 per 1 million output tokens, in US dollars. Input tokens that GPT-5.2 reads from the prompt cache cost $0.175 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of GPT-5.2?
GPT-5.2 has a context length of 400,000 tokens and returns up to 128,000 output tokens in one call.
What inputs does GPT-5.2 accept?
GPT-5.2 accepts these inputs: Text, Image, File. GPT-5.2 returns: Text.
Which reasoning effort levels does GPT-5.2 support?
GPT-5.2 supports these reasoning effort levels: xhigh, high, medium, low, none. Reasoning can be turned off for GPT-5.2.
Can I test GPT-5.2 on my own data?
Not yet. LLMCompare lists the prices and parameters of GPT-5.2, but no route to GPT-5.2 is configured on LLMCompare, so it cannot be selected for an evaluation.