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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. Perceptron Mk1.5PerceptronRemove
  3. GLM 5.3Z.AIRemove
gemini-3.8-flash vs perceptron-mk1.5 vs glm-5.3
AttributeGemini 3.8 Flashgemini-3.8-flashPerceptron Mk1.5perceptron-mk1.5GLM 5.3glm-5.3
Pricing
Input$0.75 / 1M$0.15 / 1M$1.40 / 1M
Output$3.75 / 1M$1.50 / 1M$4.40 / 1M
Cache Write (5m)$0.75 / 1M$0.15 / 1M$1.40 / 1M
Cache Write (1h)$0.75 / 1M$0.15 / 1M$1.40 / 1M
Cache Read$0.75 / 1M$0.15 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderGooglePerceptronZ.AI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.