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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. GPT-6.1 SolOpenAIRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Hy3TencentRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs transcribe-1-pro vs hy3 vs gemini-3.5-transcribe
AttributeGPT-6.1 Solgpt-6.1-solTranscribe 1 Protranscribe-1-proHy3hy3Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M— Not priced per input token$0.14 / 1M— Not priced per input token
Output$10.00 / 1M— Not priced per output token$0.58 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1MNot applicable$0.14 / 1MNot applicable
Cache Write (1h)$2.00 / 1MNot applicable$0.14 / 1MNot applicable
Cache Read$2.00 / 1MNot applicable$0.14 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A262K98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesNoYesNo
Catalogue
ProviderOpenAIFish AudioTencentGoogle
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-24—2026-09-25
Description
SummaryGPT-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.Hy3 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.