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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. Kimi K3.1 ProMoonShot AIRemove
  3. GLM 4.7 FlashZ.AIRemove
gpt-6.1-terra vs kimi-k3.1-pro vs glm-4.7-flash
AttributeGPT-6.1 Terragpt-6.1-terraKimi K3.1 Prokimi-k3.1-proGLM 4.7 Flashglm-4.7-flash
Pricing
Input$1.00 / 1M$2.00 / 1M$0.06 / 1M
Output$5.00 / 1M$10.00 / 1M$0.40 / 1M
Cache Write (5m)$1.00 / 1M$2.00 / 1M$0.06 / 1M
Cache Write (1h)$1.00 / 1M$2.00 / 1M$0.06 / 1M
Cache Read$1.00 / 1M$2.00 / 1M$0.06 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M200K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIMoonShot AIZ.AI
Categorychatchatchat
Charge typePay As You GoPay 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.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.GLM-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.