Compare models
Put models side by side on price, context, capabilities, and benchmarks.
Batch-processing variant of DeepSeek V4.1 Flash, DeepSeek's open-weight sparse MoE model built on its Causal Encoder-Decoder architecture (8B active parameters on input, 16B on output, 1M-token context). Same coding and agentic capabilities as the standard model, offered at lower cost via asynchronous batch processing for high-volume jobs that do not need real-time responses.
GPT-6 Luna is the fast, low-cost tier of OpenAI's GPT-6 series (1.05M-token context, text, image, and file input, $0.10/$0.50 per million input/output tokens), released September 22, 2026 below GPT-6 Sol and the flagship GPT-6 Astra. It is built for high-volume tasks with a clear goal, such as summarization, extraction, classification, quick questions, and lightweight agentic steps.
Benchmarks
Head-to-head scores across reasoning, coding, and agentic indices, plus per-domain rankings.
Intelligence
DeepSeek V4.1 Flash (batch) has no data
Coding
DeepSeek V4.1 Flash (batch) has no data
GPT-6 Luna has no data
Automation & Tool Use
DeepSeek V4.1 Flash (batch) has no data
GPT-6 Luna has no data
Intelligence, coding & agentic scores from Artificial Analysis.
Software & IT Services
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