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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-4o TranscribeOpenAIRemove
  2. GLM 5.3Z.AIRemove
  3. Gemini 3.7 FlashGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gpt-4o-transcribe vs glm-5.3 vs gemini-3.7-flash vs hy4-preview
AttributeGPT-4o Transcribegpt-4o-transcribeGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flashHy4 previewhy4-preview
Pricing
Input$1.25 / 1M$1.40 / 1M$0.375 / 1M$0.834 / 1M
Output$0 / 1M$4.40 / 1M$1.88 / 1M$2.50 / 1M
Cache Write (5m)Not applicable$1.40 / 1M$0.375 / 1M$0.834 / 1M
Cache Write (1h)Not applicable$1.40 / 1M$0.375 / 1M$0.834 / 1M
Cache ReadNot applicable$1.40 / 1M$0.375 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoYesYesYes
JSON ModeYesYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderOpenAIZ.AIGoogleTencent
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o's audio capabilities. It delivers accurate transcription with strong language understanding, making it suitable for a wide range of audio processing tasks. Priced per token (input and output), it offers transparent, fine-grained billing, making it well suited for workflows that require scalable transcription, integration with LLM pipelines, and cost-aware processing.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.