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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. GPT-6.1 TerraOpenAIRemove
  2. Kimi K3.1 ProMoonShot AIRemove
  3. GPT-4o Mini TranscribeOpenAIRemove
gpt-6.1-terra vs kimi-k3.1-pro vs gpt-4o-mini-transcribe
AttributeGPT-6.1 Terragpt-6.1-terraKimi K3.1 Prokimi-k3.1-proGPT-4o Mini Transcribegpt-4o-mini-transcribe
Pricing
Input$1.00 / 1M$2.00 / 1M$0.625 / 1M
Output$5.00 / 1M$10.00 / 1M$0.625 / 1M
Cache Write (5m)$1.00 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$1.00 / 1M$2.00 / 1MNot applicable
Cache Read$1.00 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M128K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesYes
StreamingNoYesNo
Catalogue
ProviderOpenAIMoonShot AIOpenAI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGPT-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.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.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.