model releaseOpenAI

OpenAI's GPT-5.4 mini now available in GitHub Copilot

TL;DR

OpenAI has released GPT-5.4 mini, the lightweight variant of its agentic coding model GPT-5.4, in GitHub Copilot. The model represents OpenAI's highest-performing mini offering to date for code generation and completion tasks.

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GPT-5.4 mini at a glance

Context window400K tokens
Input$0.75/1M tokens
Output$4.5/1M tokens

How GPT-5.4 mini ranks now

BenchmarkScoreRankSource
AA Intelligence Index24.1 index68 of 124Artificial Analysis, Oct 2026 ↗
Arena Elo1447 Elo57 of 151LMArena, Oct 2026 ↗
GPQA83.1%95 of 159Vals AI, Sep 2026 ↗
SWE-bench Verified73.0%50 of 78Vals AI, Sep 2026 ↗
AA Coding Index56.1 index40 of 78Artificial Analysis, Oct 2026 ↗

Rank is against every model in our database with a sourced score on that benchmark, each counted once with its best score.

All GPT-5.4 mini specs and scores →

OpenAI's GPT-5.4 mini Now Generally Available in GitHub Copilot

OpenAI's GPT-5.4 mini has begun rolling out to GitHub Copilot users as a generally available option. According to GitHub, the model is the latest fast-optimized version of GPT-5.4, OpenAI's agentic coding model designed for code generation and completion.

Performance Claims

GitHub states that GPT-5.4 mini represents OpenAI's highest-performing mini model to date in early internal testing. The company has not yet disclosed specific benchmark scores, latency metrics, or token pricing for the model variant.

What's Included

GPT-5.4 mini joins GitHub Copilot's existing model roster, which already includes access to various OpenAI models. The release appears focused on providing developers with a faster, more cost-efficient option for real-time code completion while maintaining competitive performance compared to previous mini variants.

No specific context window size, input/output pricing per million tokens, or parameter count has been disclosed in the announcement.

What This Means

GPT-5.4 mini positions GitHub Copilot users to access a presumably faster inference speed relative to full GPT-5.4, which could reduce latency in IDE integration. However, without published benchmarks or pricing, the concrete advantages over existing models remain unclear. The release follows the industry pattern of offering tiered model variants—full-scale and mini editions—to balance performance with speed and cost across different use cases. Developers using GitHub Copilot should expect this as an additional option within their existing subscription tier.

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