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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. Muse Spark 1.3MetaRemove
  2. GPT-4o Mini TranscribeOpenAIRemove
  3. Claude Fable 5.1AnthropicRemove
muse-spark-1.3 vs gpt-4o-mini-transcribe vs claude-fable-5.1
AttributeMuse Spark 1.3muse-spark-1.3GPT-4o Mini Transcribegpt-4o-mini-transcribeClaude Fable 5.1claude-fable-5.1
Pricing
Input$1.25 / 1M$0.625 / 1M$10.00 / 1M
Output$4.25 / 1M$0.625 / 1M$50.00 / 1M
Cache Write (5m)$1.25 / 1MNot applicable$12.50 / 1M
Cache Write (1h)$1.25 / 1MNot applicable$20.00 / 1M
Cache Read$1.25 / 1MNot applicable$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesYesYes
StreamingYesNoYes
Catalogue
ProviderMetaOpenAIAnthropic
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse 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-4o Mini Transcribe is a smaller, cost-efficient speech-to-text model built on GPT-4o Mini's audio capabilities. It is designed for high-volume transcription workloads, delivering reliable performance with lower cost and latency. Priced per token (input and output), it provides transparent, fine-grained billing, making it well suited for scalable transcription pipelines, real-time applications, and cost-sensitive deployments.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.