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.

GPT-6.1 TerraOpenAI Remove
Transcribe 1Fish Audio Remove
Gemini 4 CarbonGoogle Remove
Gemini 4 HydrogenGoogle Remove

4 is the maximum. Remove one to add another.

gpt-6.1-terra vs transcribe-1 vs gemini-4-carbon vs gemini-4-hydrogen
Attribute	GPT-6.1 Terragpt-6.1-terra	Transcribe 1transcribe-1	Gemini 4 Carbongemini-4-carbon	Gemini 4 Hydrogengemini-4-hydrogen
Pricing
Input	$1.00 / 1M	— Not priced per input token	$2.00 / 1M	$1.50 / 1M
Output	$5.00 / 1M	— Not priced per output token	$10.00 / 1M	$7.50 / 1M
Cache Write (5m)	$1.00 / 1M	Not applicable	$2.00 / 1M	$1.50 / 1M
Cache Write (1h)	$1.00 / 1M	Not applicable	$2.00 / 1M	$1.50 / 1M
Cache Read	$1.00 / 1M	Not applicable	$2.00 / 1M	$1.50 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	1M	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	Yes	Yes
Streaming	No	No	Yes	Yes
Catalogue
Provider	OpenAI	Fish Audio	Google	Google
Category	chat	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-07-29	—	—
Description
Summary	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.	Fish Audio Transcribe 1 speech-to-text. Billed per second of audio.	Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.	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.