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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 ArgonGoogleRemove
  3. Gemini 4 HydrogenGoogleRemove
  4. S2 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6.1-terra vs gemini-4-argon vs gemini-4-hydrogen vs s2-pro
AttributeGPT-6.1 Terragpt-6.1-terraGemini 4 Argongemini-4-argonGemini 4 Hydrogengemini-4-hydrogenS2 Pros2-pro
Pricing
Input$1.00 / 1M$2.00 / 1M$1.50 / 1M— Not priced per input token
Output$5.00 / 1M$10.00 / 1M$7.50 / 1M— Not priced per output token
Cache Write (5m)$1.00 / 1M$2.00 / 1M$1.50 / 1MNot applicable
Cache Write (1h)$1.00 / 1M$2.00 / 1M$1.50 / 1MNot applicable
Cache Read$1.00 / 1M$2.00 / 1M$1.50 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingNoYesYesNo
Catalogue
ProviderOpenAIGoogleGoogleFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-29
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 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.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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.