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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 Image 2.5 FlareOpenAIEnterprise & partner accessRemove
  2. GPT-6.1 TerraOpenAIRemove
  3. Gemini 4 ArgonGoogleRemove
gpt-image-2.5-flare vs gpt-6.1-terra vs gemini-4-argon
AttributeGPT Image 2.5 Flaregpt-image-2.5-flareGPT-6.1 Terragpt-6.1-terraGemini 4 Argongemini-4-argon
Pricing
Input$5.00 / 1M$1.00 / 1M$2.00 / 1M
Output$30.00 / 1M$5.00 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$1.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$1.00 / 1M$2.00 / 1M
Cache ReadNot applicable$1.00 / 1M$2.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoNoYes
Catalogue
ProviderOpenAIOpenAIGoogle
Categoryimagechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryOpenAI GPT Image 2.5 Flare. Billed by tokens at OpenAI's price: text input US$5, image input US$8 and image output US$30 per 1M tokens.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 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.