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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. GPT-6.1 TerraOpenAIRemove
gpt-4o-mini-transcribe vs gpt-6.1-terra
AttributeGPT-4o Mini Transcribegpt-4o-mini-transcribeGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.625 / 1M$1.00 / 1M
Output$0.625 / 1M$5.00 / 1M
Cache Write (5m)Not applicable$1.00 / 1M
Cache Write (1h)Not applicable$1.00 / 1M
Cache ReadNot applicable$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingNoYes
JSON ModeYesYes
StreamingNoNo
Catalogue
ProviderOpenAIOpenAI
Categoryvoicechat
Charge typePay 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.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.