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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 Image 2OpenAIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Hy4 previewTencentRemove
  4. Claude Fable 5.1AnthropicRemove

4 is the maximum. Remove one to add another.

gpt-image-2 vs glm-5.3-flash vs hy4-preview vs claude-fable-5.1
AttributeGPT Image 2gpt-image-2GLM 5.3 Flashglm-5.3-flashHy4 previewhy4-previewClaude Fable 5.1claude-fable-5.1
Pricing
Request$0.04 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.075 / 1M$0.834 / 1M$12.50 / 1M
Cache Write (1h)Not applicable$0.075 / 1M$0.834 / 1M$20.00 / 1M
Cache ReadNot applicable$0.075 / 1M$0.834 / 1M$1.00 / 1M
Input$0.075 / 1M$0.834 / 1M$10.00 / 1M
Output$0.25 / 1M$2.50 / 1M$50.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context272K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderOpenAIZ.AITencentAnthropic
Categoryimagechatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.