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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. GPT-4o Mini TranscribeOpenAIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Claude Fable 5.1AnthropicRemove
gpt-4o-mini-transcribe vs glm-5.3-flash vs claude-fable-5.1
AttributeGPT-4o Mini Transcribegpt-4o-mini-transcribeGLM 5.3 Flashglm-5.3-flashClaude Fable 5.1claude-fable-5.1
Pricing
Input$0.625 / 1M$0.075 / 1M$10.00 / 1M
Output$0.625 / 1M$0.25 / 1M$50.00 / 1M
Cache Write (5m)Not applicable$0.075 / 1M$12.50 / 1M
Cache Write (1h)Not applicable$0.075 / 1M$20.00 / 1M
Cache ReadNot applicable$0.075 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIZ.AIAnthropic
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.