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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. Hy4 previewTencentRemove
  2. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  3. GLM 5.3Z.AIRemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

hy4-preview vs gemini-3.1-flash-image-vertex vs glm-5.3 vs muse-wonder
AttributeHy4 previewhy4-previewGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexGLM 5.3glm-5.3Muse Wondermuse-wonder
Pricing
Input$0.834 / 1M—$1.40 / 1M$4.00 / 1M
Output$2.50 / 1M—$4.40 / 1M$20.00 / 1M
Cache Write (5m)$0.834 / 1MNot applicable$1.40 / 1M$4.00 / 1M
Cache Write (1h)$0.834 / 1MNot applicable$1.40 / 1M$4.00 / 1M
Cache Read$0.834 / 1MNot applicable$1.40 / 1M$4.00 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Request—$0.067 / request——
Billing—Pay Per Request——
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderTencentGoogleZ.AIMeta
Categorychatimagechatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released————
Description
SummaryTencent 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.Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.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.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.