Skip to content

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-6.1 SolOpenAIRemove
  3. Transcribe 1 ProFish AudioRemove
hy3 vs gpt-6.1-sol vs transcribe-1-pro
AttributeHy3hy3GPT-6.1 Solgpt-6.1-solTranscribe 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$2.00 / 1MNot applicable
Cache Write (1h)$0.14 / 1M$2.00 / 1MNot applicable
Cache Read$0.14 / 1M$2.00 / 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
ProviderTencentOpenAIFish 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.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.