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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. GLM 5.3Z.AIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. GPT-6 AstraOpenAIRemove
  4. DeepSeek V4 ProDeepSeekRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs deepseek-v4.1-flash vs gpt-6-astra vs deepseek-v4-pro
AttributeGLM 5.3glm-5.3DeepSeek V4.1 Flashdeepseek-v4.1-flashGPT-6 Astragpt-6-astraDeepSeek V4 Prodeepseek-v4-pro
Pricing
Input$1.40 / 1M$0.30 / 1M$10.00 / 1M$0.435 / 1M
Output$4.40 / 1M$1.20 / 1M$50.00 / 1M$0.87 / 1M
Cache Write (5m)$1.40 / 1M$0.30 / 1M$10.00 / 1M$0.435 / 1M
Cache Write (1h)$1.40 / 1M$0.30 / 1M$10.00 / 1M$0.435 / 1M
Cache Read$1.40 / 1M$0.30 / 1M$10.00 / 1M$0.435 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1.0M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIDeepSeekOpenAIDeepSeek
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.DeepSeek 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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.DeepSeek 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-Pro