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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. Hy3TencentRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Transcribe 1 ProFish AudioRemove
hy3 vs claude-sonnet-5.5 vs transcribe-1-pro
AttributeHy3hy3Claude Sonnet 5.5claude-sonnet-5.5Transcribe 1 Protranscribe-1-pro
Pricing
Input$0.14 / 1M$2.00 / 1M— Not priced per input token
Output$0.58 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.14 / 1M$2.50 / 1MNot applicable
Cache Write (1h)$0.14 / 1M$4.00 / 1MNot applicable
Cache Read$0.14 / 1M$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderTencentAnthropicFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-24
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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.