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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. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 Luna ProOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

hy3 vs perceptron-mk1.5 vs gpt-6-luna-pro vs gemini-3.5-transcribe
AttributeHy3hy3Perceptron Mk1.5perceptron-mk1.5GPT-6 Luna Progpt-6-luna-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.14 / 1M$0.15 / 1M$0.10 / 1M— Not priced per input token
Output$0.58 / 1M$1.50 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.14 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.14 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Cache Read$0.14 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K36.9K1.1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderTencentPerceptronOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.