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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. Kimi K3.1 ProMoonShot AIRemove
  2. Qwen3 MaxAlibabaRemove
  3. Muse Spark OpenMetaRemove
  4. GPT-6.1 TerraOpenAIRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs qwen3-max vs muse-spark-open vs gpt-6.1-terra
AttributeKimi K3.1 Prokimi-k3.1-proQwen3 Maxqwen3-maxMuse Spark Openmuse-spark-openGPT-6.1 Terragpt-6.1-terra
Pricing
Input$2.00 / 1M$1.20 / 1M$1.25 / 1M$1.00 / 1M
Output$10.00 / 1M$6.00 / 1M$4.25 / 1M$5.00 / 1M
Cache Write (5m)$2.00 / 1M$1.20 / 1M$1.25 / 1M$1.00 / 1M
Cache Write (1h)$2.00 / 1M$1.20 / 1M$1.25 / 1M$1.00 / 1M
Cache Read$2.00 / 1M$1.20 / 1M$1.25 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M256K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesNo
Catalogue
ProviderMoonShot AIAlibabaMetaOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryKimi 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.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.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.