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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. GLM 5.3 FlashZ.AIRemove
  2. Gemma 4 31B (Free)GoogleRemove
  3. GPT-6 AstraOpenAIRemove
glm-5.3-flash vs gemma-4-31b-it:free vs gpt-6-astra
AttributeGLM 5.3 Flashglm-5.3-flashGemma 4 31B (Free)gemma-4-31b-it:freeGPT-6 Astragpt-6-astra
Pricing
Input$0.075 / 1M$0 / 1M$10.00 / 1M
Output$0.25 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.075 / 1M$10.00 / 1M
Cache Write (1h)$0.075 / 1M$10.00 / 1M
Cache Read$0.075 / 1M$0 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M262.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderZ.AIGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released
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.Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.