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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. Universal-3.5 ProAssemblyAIRemove
  3. Qwen3.8 27BAlibabaRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs universal-3-5-pro vs qwen3.8-27b vs hy4-preview
AttributeKimi K3.1 Prokimi-k3.1-proUniversal-3.5 Prouniversal-3-5-proQwen3.8 27Bqwen3.8-27bHy4 previewhy4-preview
Pricing
Input$2.00 / 1M— Not priced per input token$0.45 / 1M$0.834 / 1M
Output$10.00 / 1M— Not priced per output token$3.20 / 1M$2.50 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$0.45 / 1M$0.834 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$0.45 / 1M$0.834 / 1M
Cache Read$2.00 / 1MNot applicable$0.45 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderMoonShot AIAssemblyAIAlibabaTencent
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-22——
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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.