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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. Nemotron Nano 9B V2 (Free)NVIDIARemove
  2. Gemini 4 ArgonGoogleRemove
  3. GPT-6.1 TerraOpenAIRemove
nemotron-nano-9b-v2 vs gemini-4-argon vs gpt-6.1-terra
AttributeNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2Gemini 4 Argongemini-4-argonGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0 / 1M$2.00 / 1M$1.00 / 1M
Output$0 / 1M$10.00 / 1M$5.00 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$2.00 / 1M$1.00 / 1M
Cache Write (5m)—$2.00 / 1M$1.00 / 1M
Cache Write (1h)—$2.00 / 1M$1.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context131.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesNo
Catalogue
ProviderNVIDIAGoogleOpenAI
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released———
Description
SummaryNVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.