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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. DeepSeek V4 ProDeepSeekRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

deepseek-v4-pro vs gemini-3.8-flash vs glm-5.3 vs gemini-3.7-flash
AttributeDeepSeek V4 Prodeepseek-v4-proGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.435 / 1M$0.75 / 1M$1.40 / 1M$0.375 / 1M
Output$0.87 / 1M$3.75 / 1M$4.40 / 1M$1.88 / 1M
Cache Write (5m)$0.435 / 1M$0.75 / 1M$1.40 / 1M$0.375 / 1M
Cache Write (1h)$0.435 / 1M$0.75 / 1M$1.40 / 1M$0.375 / 1M
Cache Read$0.435 / 1M$0.75 / 1M$1.40 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.0M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderDeepSeekGoogleZ.AIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryDeepSeek V4 Pro is a large-scale Mixture-of-Experts (MoE) model with 1.6T total parameters and 49B activated per token, supporting a 1M-token context window for advanced reasoning and long-horizon workflows. It delivers strong performance across knowledge, mathematics, and software engineering tasks, making it suitable for complex, real-world applications. Built on a hybrid attention architecture for efficient long-context processing, the model supports configurable reasoning modes to balance speed and depth. It is well suited for full codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are essential.https://huggingface.co/deepseek-ai/DeepSeek-V4-ProGemini 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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.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.