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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. Gemini 3.5 TranscribeGoogleRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Hy3TencentRemove
  4. GPT-6 Sol ProOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs transcribe-1-pro vs hy3 vs gpt-6-sol-pro
AttributeGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-proHy3hy3GPT-6 Sol Progpt-6-sol-pro
Pricing
Input— Not priced per input token— Not priced per input token$0.14 / 1M$2.00 / 1M
Output— Not priced per output token— Not priced per output token$0.58 / 1M$10.00 / 1M
Cache Write (5m)Not applicableNot applicable$0.14 / 1M$2.00 / 1M
Cache Write (1h)Not applicableNot applicable$0.14 / 1M$2.00 / 1M
Cache ReadNot applicableNot applicable$0.14 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A262K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderGoogleFish AudioTencentOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-24——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.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.