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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. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 SolOpenAIRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

hy3 vs gemini-3.5-transcribe vs gpt-6-sol vs gpt-6-luna-pro
AttributeHy3hy3Gemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-solGPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0.14 / 1M— Not priced per input token$2.00 / 1M$0.10 / 1M
Output$0.58 / 1M— Not priced per output token$10.00 / 1M$0.50 / 1M
Cache Write (5m)$0.14 / 1MNot applicable$2.00 / 1M$0.10 / 1M
Cache Write (1h)$0.14 / 1MNot applicable$2.00 / 1M$0.10 / 1M
Cache Read$0.14 / 1MNot applicable$2.00 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K98.3K1.1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderTencentGoogleOpenAIOpenAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsGPT-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.