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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. Qwen3 Next 80B A3B InstructAlibabaRemove
gpt-6.1-terra vs qwen3-next-80b-a3b-instruct
AttributeGPT-6.1 Terragpt-6.1-terraQwen3 Next 80B A3B Instructqwen3-next-80b-a3b-instruct
Pricing
Input$1.00 / 1M$0.10 / 1M
Output$5.00 / 1M$0.40 / 1M
Cache Write (5m)$1.00 / 1M$0.10 / 1M
Cache Write (1h)$1.00 / 1M$0.10 / 1M
Cache Read$1.00 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesYes
JSON ModeYesYes
StreamingNoYes
Catalogue
ProviderOpenAIAlibaba
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.Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model optimized for fast, stable answers without exposing chain-of-thought. It handles complex reasoning, code generation, knowledge QA, and multilingual tasks with strong alignment and formatting reliability. Designed for high throughput and stability on ultra-long inputs and multi-turn conversations, it’s well suited for RAG, tool use, and agent workflows where consistent final outputs matter. It delivers near–large-model performance with efficient inference, making it a strong choice for production assistants and long-context problem solving.