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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. Claude Opus 5AnthropicRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs claude-opus-5 vs deepseek-v4.1-flash vs glm-5.3
AttributeGPT-6 Astragpt-6-astraClaude Opus 5claude-opus-5DeepSeek V4.1 Flashdeepseek-v4.1-flashGLM 5.3glm-5.3
Pricing
Input$10.00 / 1M$5.00 / 1M$0.30 / 1M$1.40 / 1M
Output$50.00 / 1M$25.00 / 1M$1.20 / 1M$4.40 / 1M
Cache Write (5m)$10.00 / 1M$6.25 / 1M$0.30 / 1M$1.40 / 1M
Cache Write (1h)$10.00 / 1M$10.00 / 1M$0.30 / 1M$1.40 / 1M
Cache Read$10.00 / 1M$0.50 / 1M$0.30 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIAnthropicDeepSeekZ.AI
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.Claude Opus 5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows. It excels at end-to-end software engineering, code review, bug detection, visual analysis of charts and documents, complex office deliverables, and parallel subagent coordination. The model maintains reliable instruction following and tool use across extended tasks, while remaining effective at lower reasoning-effort settings for workloads that prioritize latency and token efficiency.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.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.