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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.8 27BAlibabaRemove
  2. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs gemini-3.1-flash-image-vertex vs perceptron-mk1.5 vs muse-wonder
AttributeQwen3.8 27Bqwen3.8-27bGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexPerceptron Mk1.5perceptron-mk1.5Muse Wondermuse-wonder
Pricing
Input$0.45 / 1M—$0.15 / 1M$4.00 / 1M
Output$3.20 / 1M—$1.50 / 1M$20.00 / 1M
Cache Write (5m)$0.45 / 1MNot applicable$0.15 / 1M$4.00 / 1M
Cache Write (1h)$0.45 / 1MNot applicable$0.15 / 1M$4.00 / 1M
Cache Read$0.45 / 1MNot applicable$0.15 / 1M$4.00 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Request—$0.067 / request——
Billing—Pay Per Request——
Context
Max context262KN/A36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoYesYes
Catalogue
ProviderAlibabaGooglePerceptronMeta
Categorychatimagechatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.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.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.