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OpenAI: GPT-5.6 Luna (batch)

Openaitext
9.1 / 10 Overall Rating

OpenAI's GPT-5.6 Luna (batch) is a cost-optimized model designed for high-volume text and multimodal processing. It combines a 1.05M-token context window with a 128K output limit at $0.10 per million input tokens. It targets bulk asynchronous tasks like document extraction, classification, and large-scale data processing.

Context Window
1050K
Knowledge Cutoff
2025
Max Output
16K
License
Proprietary

Where it Excels (Pros)

  • 1.05M token context window
  • Extremely low batch API pricing
  • Large 128K max output capacity

Limitations (Cons)

  • Batch processing introduces execution latency
  • Weaker reasoning than frontier models

Benchmark Breakdown

Reasoning (MMLU)82%
Coding (HumanEval)78%
Mathematics (MATH)76%
Long-Context Retrieval95%

Pricing Matrix

Input cost / 1M tokens$0.10
Output cost / 1M tokens$0.60
Visit OpenAI: GPT-5.6 Luna (batch) website↗

Compare OpenAI: GPT-5.6 Luna (batch) with other frontier models:

vs Meta: Muse Spark 1.2 Contributor→vs DeepSeek: DeepSeek V4 Flash Vision Exp→vs Tencent: Hy-MT2-1.8B→

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