CURATED MODEL COMPARISON

GPT-5.6 Sol vs GPT-5.6 Luna

GPT-5.6 Sol vs GPT-5.6 Luna: Examine the quality, speed, and cost tradeoff without treating missing or differently scaled public data as equivalent. Compare exact official model IDs using published signals, provider links, and clearly separated family-level guidance.

Updated:

Published data side by side

Each value keeps its original source and scale. Missing data is not treated as zero, and OpenGPT does not create a composite winner.

GPT-5.6 Sol vs GPT-5.6 Luna
Ranking angleGPT-5.6 SolGPT-5.6 Luna
User preferenceRank 18Published value: 1482Original ranking: LMArenaOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026No linked comparable data
Intelligence indexRank 5Published value: 61Original ranking: Artificial AnalysisOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026No linked comparable data
Objective tasksRank 2Published value: 81.1Original ranking: LiveBenchOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026No linked comparable data
Cost per successful taskNo linked comparable dataNo linked comparable data
Open-weight modelsNo linked comparable dataNo linked comparable data

This page organizes published third-party data. OpenGPT did not rerun the underlying evaluations.

What to validate

These strengths and limits describe the wider model family from official positioning, not measured results for this exact version.

OpenAI

GPT-5.6 Sol

gpt-5.6-sol

Family strengths

Covers general, coding, vision, and tool-based workflows. Straightforward managed API with extensive developer tooling.

Family limitations

Closed weights and provider-controlled deployment. Cost, latency, and limits vary by exact model and service tier.

OpenAI

GPT-5.6 Luna

gpt-5.6-luna

Family strengths

Covers general, coding, vision, and tool-based workflows. Straightforward managed API with extensive developer tooling.

Family limitations

Closed weights and provider-controlled deployment. Cost, latency, and limits vary by exact model and service tier.

Continue with your decision

Use the interactive matrix to add more models, then validate the final two on your own prompts and constraints.