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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. Whisper 1OpenAIRemove
  2. GPT-6 AstraOpenAIRemove
  3. Hy4 previewTencentRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

whisper-1 vs gpt-6-astra vs hy4-preview vs muse-spark-1.3
AttributeWhisper 1whisper-1GPT-6 Astragpt-6-astraHy4 previewhy4-previewMuse Spark 1.3muse-spark-1.3
Pricing
Input$75.00 / 1M$10.00 / 1M$0.834 / 1M$1.25 / 1M
Output$75.00 / 1M$50.00 / 1M$2.50 / 1M$4.25 / 1M
Cache Write (5m)Not applicable$10.00 / 1M$0.834 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$10.00 / 1M$0.834 / 1M$1.25 / 1M
Cache ReadNot applicable$10.00 / 1M$0.834 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeYesYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderOpenAIOpenAITencentMeta
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryWhisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.