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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. Gemini 4 HydrogenGoogleRemove
  3. Universal-3.5 ProAssemblyAIRemove
gpt-6.1-terra vs gemini-4-hydrogen vs universal-3-5-pro
AttributeGPT-6.1 Terragpt-6.1-terraGemini 4 Hydrogengemini-4-hydrogenUniversal-3.5 Prouniversal-3-5-pro
Pricing
Input$1.00 / 1M$1.50 / 1M— Not priced per input token
Output$5.00 / 1M$7.50 / 1M— Not priced per output token
Cache Write (5m)$1.00 / 1M$1.50 / 1MNot applicable
Cache Write (1h)$1.00 / 1M$1.50 / 1MNot applicable
Cache Read$1.00 / 1M$1.50 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingNoYesNo
Catalogue
ProviderOpenAIGoogleAssemblyAI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-22
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.Gemini 4 Hydrogen is Google's high-efficiency multimodal model in the Gemini 4 family, optimized for high-throughput agentic workflows, coding, and multi-model routing. It delivers strong performance at lower cost and latency than Gemini 4 Carbon, supporting text, image, audio, video, and file inputs for versatile multimodal applications. Designed for scalable production workloads and long-horizon execution, Gemini 4 Hydrogen supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high, and xhigh) to balance reasoning depth, speed, and cost. It is well suited for coding assistants, autonomous agents, complex workflow automation, and large-scale AI systems.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.