Skip to content

Compare models

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. Gemini 4 ArgonGoogleRemove
  3. Kimi K3.1 ProMoonShot AIRemove
  4. Qwen3 MaxAlibabaRemove

4 is the maximum. Remove one to add another.

gpt-6.1-terra vs gemini-4-argon vs kimi-k3.1-pro vs qwen3-max
AttributeGPT-6.1 Terragpt-6.1-terraGemini 4 Argongemini-4-argonKimi K3.1 Prokimi-k3.1-proQwen3 Maxqwen3-max
Pricing
Input$1.00 / 1M$2.00 / 1M$2.00 / 1M$1.20 / 1M
Output$5.00 / 1M$10.00 / 1M$10.00 / 1M$6.00 / 1M
Cache Write (5m)$1.00 / 1M$2.00 / 1M$2.00 / 1M$1.20 / 1M
Cache Write (1h)$1.00 / 1M$2.00 / 1M$2.00 / 1M$1.20 / 1M
Cache Read$1.00 / 1M$2.00 / 1M$2.00 / 1M$1.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M256K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderOpenAIGoogleMoonShot AIAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay 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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.Qwen3-Max is an updated Qwen3 model with significant gains in reasoning, instruction following, multilingual support, and long-tail knowledge. It improves accuracy in math, coding, logic, and science, reduces hallucinations, and delivers higher-quality open-ended and conversational responses in over 100 languages. Optimized for RAG and tool use, it focuses on reliable final answers rather than a dedicated “thinking” mode.