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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. GLM 5.3Z.AIRemove
  3. Nova Lite 1.0AmazonRemove
gemini-3.8-flash vs glm-5.3 vs nova-lite-v1
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3Nova Lite 1.0nova-lite-v1
Pricing
Input$0.75 / 1M$1.40 / 1M$0.18 / 1M
Output$3.75 / 1M$4.40 / 1M$0.72 / 1M
Cache Write (5m)$0.75 / 1M$1.40 / 1M$0.18 / 1M
Cache Write (1h)$0.75 / 1M$1.40 / 1M$0.18 / 1M
Cache Read$0.75 / 1M$1.40 / 1M$0.18 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M300K
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleZ.AIAmazon
Categorychatchatchat
Charge typePay 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.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.