GPT-5.6 Luna
openai
Cross-checked
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Capabilities & Recommended Uses
Strengths
- •Fast, low-latency code completions
- •Strong quality at a lightweight price point
- •Great for high-volume inline suggestions
- •Excellent cost efficiency for everyday coding
Best For
- •Real-time completions
- •High-volume inline suggestions
- •Cost-sensitive workflows
- •Copilot autocomplete
Weaknesses
- •Smaller context window than sol/terra
- •Less suited for deep multi-step reasoning
Benchmark evidence and ranking method · GPT-5.6 Luna
Cross-checked
Terminal-Bench 4.0 · Codex · max: 17.27% · 95% CI ± 2.85%
Artificial Analysis · GPT-5.6 Luna (max)
Test configuration: max
Terminal-Bench 2.1: 80.90% · SciCode: 53.59%
LiveBench · 2026-06-25 · gpt-5.6-luna-max
Coding: 82.91% · Agentic Coding: 48.43%
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
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Related Analysis & Reviews
Frequently Asked Questions
What is GPT-5.6 Luna's coding score and ranking tier?
GPT-5.6 Luna by openai is rated as Tier A on ModelRank with a coding score of 104.63 (Reference baseline = 100) as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.
What is the API pricing and context window for GPT-5.6 Luna?
GPT-5.6 Luna features a 1,050,000 token context window. Pricing is $0.2 per 1M input tokens and $1.2 per 1M output tokens (OpenRouter quote).
What programming tasks is GPT-5.6 Luna best suited for?
GPT-5.6 Luna is recommended for: Real-time completions, High-volume inline suggestions, Cost-sensitive workflows, Copilot autocomplete. Key strengths include: Fast, low-latency code completions, Strong quality at a lightweight price point, Great for high-volume inline suggestions, Excellent cost efficiency for everyday coding.
Try GPT-5.6 Luna
Last updated: October 11, 2026