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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. Gemini 2.5 Flash Image (Nano Banana)GoogleRemove
  2. Hy4 previewTencentRemove
  3. GPT-6 AstraOpenAIRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-2.5-flash-image vs hy4-preview vs gpt-6-astra vs glm-5.3
AttributeGemini 2.5 Flash Image (Nano Banana)gemini-2.5-flash-imageHy4 previewhy4-previewGPT-6 Astragpt-6-astraGLM 5.3glm-5.3
Pricing
Request$0.075 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.834 / 1M$10.00 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$0.834 / 1M$10.00 / 1M$1.40 / 1M
Cache ReadNot applicable$0.834 / 1M$10.00 / 1M$1.40 / 1M
Input$0.834 / 1M$10.00 / 1M$1.40 / 1M
Output$2.50 / 1M$50.00 / 1M$4.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderGoogleTencentOpenAIZ.AI
Categoryimagechatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 2.5 Flash Image (“Nano Banana”) is now generally available. It’s a state-of-the-art image generation model with strong contextual understanding, supporting image creation, editing, and multi-turn conversational workflows around visuals.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.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.GLM-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.