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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. Phi 4 Reasoning PlusMicrosoftRemove
  2. Qwen3.8 27BAlibabaRemove
  3. GLM 5.3Z.AIRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

phi-4-reasoning-plus vs qwen3.8-27b vs glm-5.3 vs gpt-6-astra
AttributePhi 4 Reasoning Plusphi-4-reasoning-plusQwen3.8 27Bqwen3.8-27bGLM 5.3glm-5.3GPT-6 Astragpt-6-astra
Pricing
Input$0.07 / 1M$0.45 / 1M$1.40 / 1M$10.00 / 1M
Output$0.35 / 1M$3.20 / 1M$4.40 / 1M$50.00 / 1M
Cache Write (5m)$0.07 / 1M$0.45 / 1M$1.40 / 1M$10.00 / 1M
Cache Write (1h)$0.07 / 1M$0.45 / 1M$1.40 / 1M$10.00 / 1M
Cache Read$0.07 / 1M$0.45 / 1M$1.40 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context32.8K262K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderMicrosoftAlibabaZ.AIOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.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.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.