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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 Nano Omni (Free)NVIDIARemove
  2. GPT-6.1 TerraOpenAIRemove
nemotron-3-nano-omni-30b-a3b-reasoning:free vs gpt-6.1-terra
AttributeNemotron 3 Nano Omni (Free)nemotron-3-nano-omni-30b-a3b-reasoning:freeGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0 / 1M$1.00 / 1M
Output$0 / 1M$5.00 / 1M
Cache Write$0 / 1M—
Cache Read$0 / 1M$1.00 / 1M
Cache Write (5m)—$1.00 / 1M
Cache Write (1h)—$1.00 / 1M
Web Search—$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderNVIDIAOpenAI
Categorychatchat
Charge typeFreePay As You Go
Released——
Description
SummaryNVIDIA Nemotron 3 Nano Omni is an open 30B-A3B multimodal model designed as a perception and context sub-agent for enterprise agent systems. It supports text, image, video, and audio inputs with text output, enabling unified multimodal reasoning within a single inference loop. Built on a hybrid MoE Transformer–Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers significantly improved efficiency for video reasoning—achieving ~2× higher throughput and 2.5× lower compute compared to separate pipelines. With up to 300K context length and extended thinking support, it is well suited for scalable, multimodal agent workflows.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.