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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. Nemotron 3.5 Super VLNVIDIARemove
  2. GPT-4o Mini TranscribeOpenAIRemove
  3. GPT-6.1 TerraOpenAIRemove
nemotron-3.5-super-vl vs gpt-4o-mini-transcribe vs gpt-6.1-terra
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlGPT-4o Mini Transcribegpt-4o-mini-transcribeGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.10 / 1M$0.625 / 1M$1.00 / 1M
Output$0.40 / 1M$0.625 / 1M$5.00 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$1.00 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$1.00 / 1M
Cache Read$0.10 / 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
StreamingYesNoNo
Catalogue
ProviderNVIDIAOpenAIOpenAI
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryNVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.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.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.