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

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs qwen3.8-27b vs hy4-preview vs universal-3-5-pro
AttributeKimi K3.1 Prokimi-k3.1-proQwen3.8 27Bqwen3.8-27bHy4 previewhy4-previewUniversal-3.5 Prouniversal-3-5-pro
Pricing
Input$2.00 / 1M$0.45 / 1M$0.834 / 1M— Not priced per input token
Output$10.00 / 1M$3.20 / 1M$2.50 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.45 / 1M$0.834 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.45 / 1M$0.834 / 1MNot applicable
Cache Read$2.00 / 1M$0.45 / 1M$0.834 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderMoonShot AIAlibabaTencentAssemblyAI
Categorychatchatchatvoice
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.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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.