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Model details
GPT-5.2 Chat Latest
GPT-5.2 Chat Latest is the Instant conversational member of OpenAI's GPT-5.2 family, the same generation that introduced Thinking and Pro siblings aimed at progressively heavier reasoning workloads. According to a third-party source, the API identifier "gpt-5.2-chat-latest" maps directly to this Instant flavor, which OpenAI positioned as the conversational workhorse with a warm tone, clearer explanations, and more deliberate upfront information gathering than its predecessor. That positioning makes it well suited to standard FAQ exchanges, quick how-to lookups, and first-line triage where a friendly, responsive voice matters more than deep deliberation. It is one of three coordinated variants released together, giving developers a gradient from lightweight chat to deep reasoning within a single generation.
Within the GPT-5.2 lineup, Chat Latest is explicitly the lighter end of the spectrum: where the Thinking variant introduces a new reasoning effort parameter with a maximum-power "xhigh" setting for complex troubleshooting and long-context analysis, Instant prioritizes conversational fluency and speed for everyday interactions. The same source describes GPT-5.2 overall as a major step in OpenAI's GPT-5 generation, while noting that it has since been superseded by the GPT-5.6 family for new API work, leaving Chat Latest best understood as a previous-frontier option still maintained for existing workflows. For practitioners, that means Chat Latest remains a reasonable fit when continuity with prior GPT-5.2 Instant behavior matters, while new deployments that need the freshest frontier reasoning should look to the newer family.
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- Model key
- openai/gpt-5.2-chat-latest
- Release date
- Dec 11, 2025
- Last updated
- Dec 11, 2025
- Knowledge cutoff
- 2025-08-31
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $1.75
- Output token cost
- $14.00
Limits
- Output tokens
- 16,384 tokens
- Context window
- 128,000 tokens
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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