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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. Hy4 previewTencentRemove
  2. Devstral SmallMistral AIRemove
  3. GPT-6 Astra ProOpenAIRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

hy4-preview vs devstral-small vs gpt-6-astra-pro vs gemini-3.8-flash
AttributeHy4 previewhy4-previewDevstral Smalldevstral-smallGPT-6 Astra Progpt-6-astra-proGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.834 / 1M$0.09 / 1M$10.00 / 1M$0.75 / 1M
Output$2.50 / 1M$0.30 / 1M$50.00 / 1M$3.75 / 1M
Cache Write (5m)$0.834 / 1M$0.09 / 1M$10.00 / 1M$0.75 / 1M
Cache Write (1h)$0.834 / 1M$0.09 / 1M$10.00 / 1M$0.75 / 1M
Cache Read$0.834 / 1M$0.09 / 1M$10.00 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M131.1K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderTencentMistral AIOpenAIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryTencent 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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.