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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. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Veo 3GoogleRemove
  4. Claude Fable 5.2AnthropicRemove

4 is the maximum. Remove one to add another.

gpt-6.1-terra vs nemotron-3.5-super-vl:free vs veo3 vs claude-fable-5.2
AttributeGPT-6.1 Terragpt-6.1-terraNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeVeo 3veo3Claude Fable 5.2claude-fable-5.2
Pricing
Input$1.00 / 1M$0 / 1M—$8.00 / 1M
Output$5.00 / 1M$0 / 1M—$40.00 / 1M
Cache Write (5m)$1.00 / 1M—Not applicable$10.00 / 1M
Cache Write (1h)$1.00 / 1M—Not applicable$16.00 / 1M
Cache Read$1.00 / 1M$0 / 1MNot applicable$0.20 / 1M
Web Search$0 / 1M——$0 / 1M
Cache Write—$0 / 1M——
Request——$1.26 / request—
Billing——Pay Per Request—
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderOpenAINVIDIAGoogleAnthropic
Categorychatchatvideochat
Charge typePay As You GoFreePay Per RequestPay 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.NVIDIA 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.—Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.