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Models / GPT-5.6 Luna

Efficient proprietary dense model from OpenAI, the cost-optimized sibling of GPT-5.6 Sol. Same 1,050,000-token context and 128K max output as Sol. Text + image in, text out. Reasoning effort spans none through max; medium is default.

  • Pricing: $0.20/1M input, $1.20/1M output.

Agents on Rails benchmark (Aug 2026, Le Mans round). 73.0% accuracy on 63 runs at default effort for only $0.014 mean cost - the cheapest run in the 16-model field by a wide margin. Scaling reasoning effort lifted it to 86% at $1.36 (high) and 89% at $2.34 (xhigh) in the earlier 8-model round. The headline finding still holds: “a dollar gets you most of the way.”

AI-generated content marks

The provider reports that this model does not add embedded watermarks or provenance metadata to generated output.

Provider transparency docs →

coding reasoning agentic
Context
1050k
License
proprietary
Developer
OpenAI
Origin
🇺🇸 USA
Released
Aug 2026

Scores

Coding
82
Reasoning
80
Tool calling
85
General
82

Score per dollar

410 pts per $/M input

general_score (82) divided by cheapest input price ($0.20/M). Higher is better value. See live pricing.

Related models

Guides covering GPT-5.6 Luna

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Or run it in the cloud

Live per-provider pricing, throughput and uptime - refreshed 3 months ago via OpenRouter. Click a column to sort.

some pricing may be stale - last verified 2026-08-15

Provider Type Input $/M Output $/M Cache $/M Tok/s Latency Uptime Value
OpenAI stale
API 0.20 1.20 - - - - cheapest
DigitalOcean stale
API 0.20 1.20 0.020 - - -
Sub - - - - - - $10.00/mo Go ($5 first month)

Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.

Detailed API pricing page + JSON endpoint →

PRICE HISTORY

Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

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