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Model details

gpt-5.1-codex

The gpt-5.1-codex belongs to the gpt-codex family of agentic coding models, sitting alongside variants such as GPT-5.1-Codex-Max and the later GPT-5.2-Codex. The Codex line is engineered for long-horizon software engineering tasks, with documented emphasis on context compaction, large refactors and migrations, and improved performance in Windows environments. A METR evaluation of the closely related GPT-5.1-Codex-Max reported a 50% task time-horizon between roughly 75 minutes and 350 minutes, with a point estimate near 2 hours 42 minutes, describing it as an on-trend incremental advance over earlier reasoning models in agentic coding work. These traits frame gpt-5.1-codex as a model aimed at multi-step development workflows where maintaining coherent state across large codebases matters more than single-shot generation.

In practical terms, the model is positioned for professional software engineering scenarios that benefit from sustained reasoning across long contexts and integration with external tooling. Independent observations cited alongside the Codex line note that capabilities in agentic coding can also surface in adjacent domains, including defensive cybersecurity work, with a documented example of a researcher using a related Codex variant to find and responsibly disclose a React server components vulnerability. For teams building on this family, the practical fit is complex code modifications, repository-scale refactors, and tool-assisted development sessions where the model can plan, execute, and verify changes rather than just answer isolated questions.

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Jiekou.AI
Model key
gpt-5.1-codex
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.125
Output token cost
$9.00

Limits

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

Transparent token rates

Compare gpt-5.1-codex pricing

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

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Latest news about gpt-5.1-codex

Vercel AI Gateway

CoverageBenchmark

BenchLM's GPT-5.1-Codex page, published roughly five days before the current date, summarizes third-party benchmark evidence for the model. It assigns an overall capability score of 48.7/100 based on a field median of 56.4 across 127 of 231 ranked models, alongside pricing of $1.25 input and $10 output per 1M tokens an The aggregator reports verified benchmark rows only in the Agentic and Coding categories — Agentic rank 65 of 154 (58th percentile, 2 benchmarks) and Coding rank 88 of 156 (44th percentile, 2 benchmarks). Reasoning, Multimodal, Knowledge, Multilingual, Instruction-Following, and Math categories are all marked as Not me

Jiekou.AI

CoverageBenchmark

The Kilo Code model catalog page lists OpenAI: GPT-5.1-Codex as a specialized variant of GPT-5.1 optimized for software engineering and coding workflows, supporting both interactive development sessions and long, independent execution of complex engineering tasks. The page reports a 400,000-token context window with a For coding benchmarks, the Kilo Code page records LiveCodeBench 84.0% for real-world coding tasks, SciCode 40.9% for scientific computing and algorithms, TerminalBench Hard 37.9% for CLI/terminal command generation, LCR 71.0% for long-context reasoning, and IFBench 74.1% for instruction-following accuracy, attributed t

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