Skip to content

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. GLM 5.3 FlashZ.AIRemove
  2. GPT-5.6 Sol ProOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
glm-5.3-flash vs gpt-5.6-sol-pro vs perceptron-mk1.5
AttributeGLM 5.3 Flashglm-5.3-flashGPT-5.6 Sol Progpt-5.6-sol-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.075 / 1M$5.00 / 1M$0.15 / 1M
Output$0.25 / 1M$30.00 / 1M$1.50 / 1M
Cache Write (5m)$0.075 / 1M$5.00 / 1M$0.15 / 1M
Cache Write (1h)$0.075 / 1M$5.00 / 1M$0.15 / 1M
Cache Read$0.075 / 1M$5.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderZ.AIOpenAIPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.GPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.