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. o4 Mini Deep ResearchOpenAIRemove
  2. Hy4 previewTencentRemove
  3. Gemini 3.7 FlashGoogleRemove
o4-mini-deep-research vs hy4-preview vs gemini-3.7-flash
Attributeo4 Mini Deep Researcho4-mini-deep-researchHy4 previewhy4-previewGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$2.00 / 1M$0.834 / 1M$0.375 / 1M
Output$8.00 / 1M$2.50 / 1M$1.88 / 1M
Cache Write (5m)$2.00 / 1M$0.834 / 1M$0.375 / 1M
Cache Write (1h)$2.00 / 1M$0.834 / 1M$0.375 / 1M
Cache Read$2.00 / 1M$0.834 / 1M$0.375 / 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
ProviderOpenAITencentGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
Summaryo4-mini-deep-research is a faster, lower-cost version of OpenAI's deep-research model, designed for complex, multi-step investigations. It automatically relies on web_search for information gathering, which always adds extra usage cost.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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.