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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. GPT-6 AstraOpenAIRemove
  2. Seedream 4.5ByteDanceRemove
  3. GLM 5.3 FlashZ.AIRemove
gpt-6-astra vs doubao-seedream-4-5-251128 vs glm-5.3-flash
AttributeGPT-6 Astragpt-6-astraSeedream 4.5doubao-seedream-4-5-251128GLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M$0.075 / 1M
Output$50.00 / 1M$0.25 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$0.075 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$0.075 / 1M
Cache Read$10.00 / 1MNot applicable$0.075 / 1M
Web Search$0 / 1M$0 / 1M
Request$0.375 / request
BillingPay Per Request
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderOpenAIByteDanceZ.AI
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay As You Go
Released
Description
SummaryGPT-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.Seedream 4.5 is ByteDance's advanced AI image generation and editing model, representing a major evolution of the Seedream family. It delivers professional-grade visual quality with rich detail, improved spatial understanding, and cinematic rendering effects. Seedream 4.5 excels at understanding nuanced natural language prompts and generating consistent, high-fidelity outputs with enhanced lighting, depth, and texture. It supports complex workflows such as multi-image composition, fine typography and text rendering, and image-to-image editing with enhanced prompt interpretation.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.