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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. Hy3TencentRemove
  2. GPT-6 LunaOpenAIRemove
  3. Transcribe 1 ProFish AudioRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

hy3 vs gpt-6-luna vs transcribe-1-pro vs perceptron-mk1.5
AttributeHy3hy3GPT-6 Lunagpt-6-lunaTranscribe 1 Protranscribe-1-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.14 / 1M$0.10 / 1M— Not priced per input token$0.15 / 1M
Output$0.58 / 1M$0.50 / 1M— Not priced per output token$1.50 / 1M
Cache Write (5m)$0.14 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$0.14 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Cache Read$0.14 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1.1MN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesNoYes
Catalogue
ProviderTencentOpenAIFish AudioPerceptron
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-242026-09-25
Description
SummaryHy3 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.GPT-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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.