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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 V4.1 FlashDeepSeekRemove
  2. Hy4 previewTencentRemove
  3. Gemini 1.5 ProGoogleRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs hy4-preview vs gemini-1.5-pro-latest vs glm-5.3
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashHy4 previewhy4-previewGemini 1.5 Progemini-1.5-pro-latestGLM 5.3glm-5.3
Pricing
Input$0.30 / 1M$0.834 / 1M$1.26 / 1M$1.40 / 1M
Output$1.20 / 1M$2.50 / 1M$5.04 / 1M$4.40 / 1M
Cache Write (5m)$0.30 / 1M$0.834 / 1M$1.26 / 1M$1.40 / 1M
Cache Write (1h)$0.30 / 1M$0.834 / 1M$1.26 / 1M$1.40 / 1M
Cache Read$0.30 / 1M$0.834 / 1M$1.26 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M2M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderDeepSeekTencentGoogleZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryDeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.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.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.