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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. GLM 5.3Z.AIRemove
  3. Muse Spark 1.3MetaRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

whisper-1 vs glm-5.3 vs muse-spark-1.3 vs gpt-6-astra
AttributeWhisper 1whisper-1GLM 5.3glm-5.3Muse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astra
Pricing
Input$75.00 / 1M$1.40 / 1M$1.25 / 1M$10.00 / 1M
Output$75.00 / 1M$4.40 / 1M$4.25 / 1M$50.00 / 1M
Cache Write (5m)Not applicable$1.40 / 1M$1.25 / 1M$10.00 / 1M
Cache Write (1h)Not applicable$1.40 / 1M$1.25 / 1M$10.00 / 1M
Cache ReadNot applicable$1.40 / 1M$1.25 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoYesYesYes
JSON ModeYesYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderOpenAIZ.AIMetaOpenAI
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.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.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.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.