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GPT-5.1 Codex mini

GPT-5.1 Codex Mini emerges as a streamlined coding-specialized variant within the GPT-5.1 Codex family, engineered to deliver strong programming capabilities while dramatically expanding practical usage within resource constraints. The model maintains the core coding strengths of its larger sibling but compresses computational demands to provide approximately four times more turns within subscription limits. This design philosophy prioritizes accessibility without abandoning the reasoning depth, tool-calling flexibility, and structured output support that developers need for production integrations. The architecture supports flexible reasoning effort adjustments, enabling developers to tune the balance between thorough analysis and response speed based on task complexity.

The practical character of this model shines in scenarios where efficiency matters as much as raw capability. Compared against its larger siblings, GPT-5.1 Codex Mini demonstrates particular strength in mathematical reasoning and delivers measurably faster response times, making it well-suited for interactive development workflows and high-volume coding tasks. Its integration with the broader OpenAI Agents SDK positions it for orchestration in multi-step pipelines where tool use and structured outputs drive automation. The combination of compact cost, reliable speed, and solid coding fundamentals makes this variant a pragmatic choice for developers building applications that require consistent performance without premium pricing overhead.

AIHubMixgpt-5.1-codex-minigpt-codex

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Provider
AIHubMix
Model key
gpt-5.1-codex-mini
Release date
Nov 13, 2025
Last updated
Nov 13, 2025
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.25
Output token cost
$2.00

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

Compare gpt-codex pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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