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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 Large V3 TurboOpenAIRemove
  2. Muse Spark OpenMetaRemove
whisper-large-v3-turbo vs muse-spark-open
AttributeWhisper Large V3 Turbowhisper-large-v3-turboMuse Spark Openmuse-spark-open
Pricing
Input$3.33 / 1M$1.25 / 1M
Output— Not priced per output token$4.25 / 1M
Cache Write (5m)Not applicable$1.25 / 1M
Cache Write (1h)Not applicable$1.25 / 1M
Cache ReadNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max contextN/A1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderOpenAIMeta
Categoryvoicechat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryWhisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for high-speed and cost-efficient transcription. It supports 99+ languages and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. With a ~12% word error rate and real-time speed factors up to 216×, it delivers fast, scalable performance for latency-sensitive and high-throughput transcription workloads, making it ideal for real-time and large-scale speech processing applications.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.