Skip to content

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. Mistral Medium 3.5MistralRemove
gpt-6.1-terra vs mistral-medium-3-5
AttributeGPT-6.1 Terragpt-6.1-terraMistral Medium 3.5mistral-medium-3-5
Pricing
Input$1.00 / 1M$1.50 / 1M
Output$5.00 / 1M$7.50 / 1M
Cache Write (5m)$1.00 / 1M$1.50 / 1M
Cache Write (1h)$1.00 / 1M$1.50 / 1M
Cache Read$1.00 / 1M$1.50 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingNoYes
Catalogue
ProviderOpenAIMistral
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
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.Mistral Medium 3.5 is a 128B dense instruction-following model from Mistral AI, supporting text and image inputs with text output. It is designed for agentic workflows, coding, and complex multi-step reasoning, with strong reliability in multi-tool orchestration and long-horizon tasks. The model features a 256K token context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. With support for self-hosting on as few as four GPUs and availability under open weights, it is well suited for scalable, production-grade deployments.