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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 Luna ProOpenAIRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Hy3TencentRemove
gpt-6-luna-pro vs transcribe-1-pro vs hy3
AttributeGPT-6 Luna Progpt-6-luna-proTranscribe 1 Protranscribe-1-proHy3hy3
Pricing
Input$0.10 / 1M— Not priced per input token$0.14 / 1M
Output$0.50 / 1M— Not priced per output token$0.58 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$0.14 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$0.14 / 1M
Cache Read$0.10 / 1MNot applicable$0.14 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A262K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderOpenAIFish AudioTencent
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-24—
Description
SummaryGPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.