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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 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Muse WonderMetaRemove
  4. GLM 5Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.1-flash-image-vertex vs perceptron-mk1.5 vs muse-wonder vs glm-5
AttributeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexPerceptron Mk1.5perceptron-mk1.5Muse Wondermuse-wonderGLM 5glm-5
Pricing
Request$0.067 / request———
BillingPay Per Request———
Cache Write (5m)Not applicable$0.15 / 1M$4.00 / 1M$0.60 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$4.00 / 1M$0.60 / 1M
Cache ReadNot applicable$0.15 / 1M$4.00 / 1M$0.60 / 1M
Input—$0.15 / 1M$4.00 / 1M$0.60 / 1M
Output—$1.50 / 1M$20.00 / 1M$2.20 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9K1M202.8K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoYesYesYes
Catalogue
ProviderGooglePerceptronMetaZ.AI
Categoryimagechatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released—2026-09-25——
Description
SummaryGemini 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.