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. Codex MiniOpenAIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Hy4 previewTencentRemove
codex-mini vs gemini-3.8-flash vs hy4-preview
AttributeCodex Minicodex-miniGemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-preview
Pricing
Input$0.75 / 1M$0.75 / 1M$0.834 / 1M
Output$3.00 / 1M$3.75 / 1M$2.50 / 1M
Cache Write (5m)$0.75 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (1h)$0.75 / 1M$0.75 / 1M$0.834 / 1M
Cache Read$0.75 / 1M$0.75 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context200K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIGoogleTencent
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryCodex Mini is a fine-tuned o4-mini model made for the Codex CLI. For most direct API usage, it’s better to use gpt-4.1 instead.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.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.