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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. Transcribe 1 ProFish AudioRemove
  3. GPT-6 Sol ProOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

hy3 vs transcribe-1-pro vs gpt-6-sol-pro vs gemini-3.5-transcribe
AttributeHy3hy3Transcribe 1 Protranscribe-1-proGPT-6 Sol Progpt-6-sol-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.14 / 1M— Not priced per input token$2.00 / 1M— Not priced per input token
Output$0.58 / 1M— Not priced per output token$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.14 / 1MNot applicable$2.00 / 1MNot applicable
Cache Write (1h)$0.14 / 1MNot applicable$2.00 / 1MNot applicable
Cache Read$0.14 / 1MNot applicable$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262KN/A1.1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesNoYesNo
Catalogue
ProviderTencentFish AudioOpenAIGoogle
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-24—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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.