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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. GLM 4.7 FlashZ.AIRemove
  2. GPT-6.1 TerraOpenAIRemove
glm-4.7-flash vs gpt-6.1-terra
AttributeGLM 4.7 Flashglm-4.7-flashGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.06 / 1M$1.00 / 1M
Output$0.40 / 1M$5.00 / 1M
Cache Write (5m)$0.06 / 1M$1.00 / 1M
Cache Write (1h)$0.06 / 1M$1.00 / 1M
Cache Read$0.06 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context200K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderZ.AIOpenAI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGLM-4.7-Flash is a state-of-the-art 30B-class model designed to strike a strong balance between performance and efficiency. It is specifically optimized for agentic coding scenarios, with enhanced capabilities in code generation, long-horizon task planning, and tool-based collaboration. Among open-source models of comparable size, GLM-4.7-Flash has achieved leading results on multiple public benchmark leaderboards, establishing itself as a competitive and practical choice for advanced developer and agent workflows.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.