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
MiniMax M1MiniMax Remove
Gemini 3.1 Flash Lite Image (Google Vertex AI)Google Remove

Add a model

Kimi K3.1 Pro
DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
Gemini 4 Argon
Muse Wonder
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access

gpt-6.1-terra vs minimax-m1 vs gemini-3.1-flash-lite-image-vertex
Attribute	GPT-6.1 Terragpt-6.1-terra	MiniMax M1minimax-m1	Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input	$1.00 / 1M	$0.30 / 1M	—
Output	$5.00 / 1M	$1.65 / 1M	—
Cache Write (5m)	$1.00 / 1M	$0.30 / 1M	Not applicable
Cache Write (1h)	$1.00 / 1M	$0.30 / 1M	Not applicable
Cache Read	$1.00 / 1M	$0.30 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	—
Request	—	—	$0.0336 / request
Billing	—	—	Pay Per Request
Context
Max context	1M	1M	N/A
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes
Function Calling	Yes	No	No
JSON Mode	Yes	No	No
Streaming	No	No	No
Catalogue
Provider	OpenAI	MiniMax	Google
Category	chat	chat	image
Charge type	Pay As You Go	Pay As You Go	Pay Per Request
Released	—	—	—
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.	—	Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.