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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. GPT-6 AstraOpenAIRemove
  2. GLM 5.3Z.AIRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. Command R+CohereRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs glm-5.3 vs deepseek-v4.1-flash vs command-r-plus
AttributeGPT-6 Astragpt-6-astraGLM 5.3glm-5.3DeepSeek V4.1 Flashdeepseek-v4.1-flashCommand R+command-r-plus
Pricing
Input$10.00 / 1M$1.40 / 1M$0.30 / 1M$2.85 / 1M
Output$50.00 / 1M$4.40 / 1M$1.20 / 1M$14.25 / 1M
Cache Write (5m)$10.00 / 1M$1.40 / 1M$0.30 / 1M$2.85 / 1M
Cache Write (1h)$10.00 / 1M$1.40 / 1M$0.30 / 1M$2.85 / 1M
Cache Read$10.00 / 1M$1.40 / 1M$0.30 / 1M$2.85 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M128K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIZ.AIDeepSeekCohere
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.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.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.