Skip to content

Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6 LunaOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 AstraOpenAIRemove
  4. Qwen3 ASR 0.6BQwenRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs perceptron-mk1.5 vs gpt-6-astra vs qwen3-asr-0.6b
AttributeGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5GPT-6 Astragpt-6-astraQwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input$0.10 / 1M$0.15 / 1M$10.00 / 1M$0 / 1M
Output$0.50 / 1M$1.50 / 1M$50.00 / 1M$0 / 1M
Cache Write (5m)$0.10 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Cache Read$0.10 / 1M$0.15 / 1M$10.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIPerceptronOpenAIQwen
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-08-13
Description
SummaryGPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.