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

4 is the maximum. Remove one to add another.

universal-3-5-pro vs gemini-4-argon vs qwen3.8-27b vs hy4-preview
AttributeUniversal-3.5 Prouniversal-3-5-proGemini 4 Argongemini-4-argonQwen3.8 27Bqwen3.8-27bHy4 previewhy4-preview
Pricing
Input— Not priced per input token$2.00 / 1M$0.45 / 1M$0.834 / 1M
Output— Not priced per output token$10.00 / 1M$3.20 / 1M$2.50 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.45 / 1M$0.834 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.45 / 1M$0.834 / 1M
Cache ReadNot applicable$2.00 / 1M$0.45 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderAssemblyAIGoogleAlibabaTencent
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-22———
Description
SummaryAssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.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.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.