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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 30B A3B ThinkAlibabaRemove
gpt-6.1-terra vs qwen3-30b-a3b-think
AttributeGPT-6.1 Terragpt-6.1-terraQwen3 30B A3B Thinkqwen3-30b-a3b-think
Pricing
Input$1.00 / 1M$0.051 / 1M
Output$5.00 / 1M$0.34 / 1M
Cache Write (5m)$1.00 / 1M$0.051 / 1M
Cache Write (1h)$1.00 / 1M$0.051 / 1M
Cache Read$1.00 / 1M$0.051 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M32.8K
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.Qwen3-30B-A3B-Thinking-2507 is a 30B-parameter Mixture-of-Experts (MoE) reasoning model optimized for complex tasks that require extended, multi-step reasoning. It is purpose-built for thinking mode, where internal reasoning traces are explicitly separated from final outputs, enabling more structured and reliable problem solving. Compared to earlier Qwen3-30B variants, this release delivers notable gains across logical reasoning, mathematics, science, coding, and multilingual benchmarks, while also strengthening instruction following, tool usage, and alignment with human preferences. With improved reasoning efficiency and larger output budgets, Qwen3-30B-A3B-Thinking-2507 is well suited for advanced research, competitive problem solving, and agentic applications that demand robust long-context and structured reasoning capabilities.