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Model details

OpenAI GPT-5.1 Chat

OpenAI GPT-5.1 Chat is positioned as a production-ready conversational model in the GPT-5.1 family, designed for dependable chat performance, tool-using workflows, and scalable long-context handling. Both third-party gateway listings describe it as multimodal, accepting text, image, and document inputs while producing text and tool-use outputs, and supporting capabilities such as tool calling, tool choice, structured output, and streaming. These traits make it a fit for agent-style applications that need to call external functions, return schema-constrained responses, or pipe results into downstream systems without losing conversational fluency. Merge also notes that zero data retention is available on its gateway, which is useful for teams with strict data-handling requirements.

In practical terms, GPT-5.1 Chat is aimed at developers building assistants, retrieval-augmented agents, and coding-adjacent workflows rather than open-weight experimentation, and it is delivered as a hosted API rather than a downloadable checkpoint. Merge documents a launch in November 2025, aligning the model with the current generation of OpenAI's chat-tier offerings and signaling forward momentum in the GPT-5 lineup. The supported capability set, including function calling and structured outputs, suggests an intended role in orchestrated pipelines where reliable tool invocation and predictable response formatting matter more than raw parameter counts. Teams evaluating it should weigh its multimodal input handling and tool-use maturity against their need for a managed, OpenAI-backed chat model with production-grade streaming behavior.

Heliconegpt-5.1-chat-latestgpt-codex

Quick Info

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Provider
Helicone
Model key
gpt-5.1-chat-latest
Release date
Jan 1, 2025
Last updated
Jan 1, 2025
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

Limits

Output tokens
16,384 tokens
Context window
128,000 tokens

Transparent token rates

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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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