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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. GPT-6 Astra ProOpenAIRemove
  2. Nemotron 3.5 Content Safety (Free)NVIDIARemove
  3. GLM 5.3 FlashZ.AIRemove
gpt-6-astra-pro vs nemotron-3.5-content-safety:free vs glm-5.3-flash
AttributeGPT-6 Astra Progpt-6-astra-proNemotron 3.5 Content Safety (Free)nemotron-3.5-content-safety:freeGLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M$0 / 1M$0.075 / 1M
Output$50.00 / 1M$0 / 1M$0.25 / 1M
Cache Write (5m)$10.00 / 1M$0.075 / 1M
Cache Write (1h)$10.00 / 1M$0.075 / 1M
Cache Read$10.00 / 1M$0 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAINVIDIAZ.AI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released
Description
SummaryGPT-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.NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, designed for content moderation, safety classification, and AI policy enforcement. Supporting text and image inputs with text output, it evaluates both user prompts and model responses, providing safe/unsafe classifications, safety category labels, and optional reasoning traces. Fine-tuned from Gemma-3-4B and supporting 12 languages with a 128K-token context window, the model is well suited for prompt moderation, response filtering, content classification, and enterprise safety pipelines. As part of the NVIDIA Nemotron family, it offers a configurable reasoning mode and integrates easily into agentic AI systems requiring robust guardrails and compliance controls.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.