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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. GLM 5.3Z.AIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs perceptron-mk1.5 vs nemotron-3.5-super-vl:free vs glm-5.3-flash
AttributeGLM 5.3glm-5.3Perceptron Mk1.5perceptron-mk1.5Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGLM 5.3 Flashglm-5.3-flash
Pricing
Input$1.40 / 1M$0.15 / 1M$0 / 1M$0.075 / 1M
Output$4.40 / 1M$1.50 / 1M$0 / 1M$0.25 / 1M
Cache Write (5m)$1.40 / 1M$0.15 / 1M—$0.075 / 1M
Cache Write (1h)$1.40 / 1M$0.15 / 1M—$0.075 / 1M
Cache Read$1.40 / 1M$0.15 / 1M$0 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Cache Write——$0 / 1M—
Context
Max context1M36.9K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIPerceptronNVIDIAZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoFreePay As You Go
Released—2026-09-25——
Description
SummaryGLM-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.GLM-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.