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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. Tongyi DeepResearch 30B A3BAlibabaRemove
gpt-6.1-terra vs tongyi-deepresearch-30b-a3b
AttributeGPT-6.1 Terragpt-6.1-terraTongyi DeepResearch 30B A3Btongyi-deepresearch-30b-a3b
Pricing
Input$1.00 / 1M$0.135 / 1M
Output$5.00 / 1M$0.675 / 1M
Cache Write (5m)$1.00 / 1M$0.135 / 1M
Cache Write (1h)$1.00 / 1M$0.135 / 1M
Cache Read$1.00 / 1M$0.135 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M131.1K
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.Tongyi DeepResearch is a 30B-parameter agentic model (3B active per token) built for long-horizon, deep research and information-seeking tasks. It achieves state-of-the-art results on major agentic search and reasoning benchmarks, outperforming prior models in complex multi-step problem solving. Trained with a fully automated synthetic data pipeline and advanced on-policy RL, it supports ReAct workflows and a high-performance “Heavy” mode for test-time scaling, making it well suited for advanced research agents, tool use, and intensive inference workloads.