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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. Qwen3.5 397B A17BAlibabaRemove
  2. GPT-6.1 TerraOpenAIRemove
qwen3.5-397b-a17b vs gpt-6.1-terra
AttributeQwen3.5 397B A17Bqwen3.5-397b-a17bGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.55 / 1M$1.00 / 1M
Output$3.50 / 1M$5.00 / 1M
Cache Write (5m)$0.55 / 1M$1.00 / 1M
Cache Write (1h)$0.55 / 1M$1.00 / 1M
Cache Read$0.55 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderAlibabaOpenAI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3.5-397B-A17B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design to achieve higher inference efficiency at large scale. It delivers state-of-the-art performance across a broad range of tasks, including language understanding, logical reasoning, code generation, agent-based workflows, image and video understanding, and GUI interaction. With strong coding and agent capabilities, Qwen3.5-397B-A17B demonstrates robust generalization across diverse multimodal and agentic scenarios, making it well suited for advanced applications that require integrated reasoning across text, vision, and interactive environments.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.