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.
- Perceptron Mk1.5PerceptronRemove
- Muse WonderMetaRemove
- Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
- Qwen3.8 27BAlibabaRemove
4 is the maximum. Remove one to add another.
| Attribute | Perceptron Mk1.5perceptron-mk1.5 | Muse Wondermuse-wonder | Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex | Qwen3.8 27Bqwen3.8-27b |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.15 / 1M | $4.00 / 1M | — | $0.45 / 1M |
| Output | $1.50 / 1M | $20.00 / 1M | — | $3.20 / 1M |
| Cache Write (5m) | $0.15 / 1M | $4.00 / 1M | Not applicable | $0.45 / 1M |
| Cache Write (1h) | $0.15 / 1M | $4.00 / 1M | Not applicable | $0.45 / 1M |
| Cache Read | $0.15 / 1M | $4.00 / 1M | Not applicable | $0.45 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Request | — | — | $0.067 / request | — |
| Billing | — | — | Pay Per Request | — |
| Context | ||||
| Max context | 36.9K | 1M | N/A | 262K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | No | Yes |
| JSON Mode | No | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Perceptron | Meta | Alibaba | |
| Category | chat | chat | image | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request | Pay As You Go |
| Released | 2026-09-25 | — | — | — |
| Description | ||||
| Summary | 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. | 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. | Qwen3.8 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. |