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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. Gemini 3.8 FlashGoogleRemove
  2. DeepSeek V3DeepSeekRemove
  3. GPT-6 Astra ProOpenAIRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs deepseek-v3 vs gpt-6-astra-pro vs glm-5.3
AttributeGemini 3.8 Flashgemini-3.8-flashDeepSeek V3deepseek-v3GPT-6 Astra Progpt-6-astra-proGLM 5.3glm-5.3
Pricing
Input$0.75 / 1M$0.38 / 1M$10.00 / 1M$1.40 / 1M
Output$3.75 / 1M$0.89 / 1M$50.00 / 1M$4.40 / 1M
Cache Write (5m)$0.75 / 1M$0.38 / 1M$10.00 / 1M$1.40 / 1M
Cache Write (1h)$0.75 / 1M$0.38 / 1M$10.00 / 1M$1.40 / 1M
Cache Read$0.75 / 1M$0.38 / 1M$10.00 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M163.8K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleDeepSeekOpenAIZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.