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.
| Attribute | Claude Opus 5.5claude-opus-5.5 | Muse Wondermuse-wonder | Gemini 3 Pro Image (Google AI Studio)gemini-3-pro-image-aistudio |
|---|---|---|---|
| Pricing | |||
| Input | $4.00 / 1M | $4.00 / 1M | — |
| Output | $20.00 / 1M | $20.00 / 1M | — |
| Cache Write (5m) | $5.00 / 1M | $4.00 / 1M | Not applicable |
| Cache Write (1h) | $8.00 / 1M | $4.00 / 1M | Not applicable |
| Cache Read | $0.20 / 1M | $4.00 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | — |
| Request | — | — | $0.134 / request |
| Billing | — | — | Pay Per Request |
| Context | |||
| Max context | 1M | 1M | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | Yes |
| Function Calling | Yes | Yes | No |
| JSON Mode | Yes | Yes | No |
| Streaming | Yes | Yes | No |
| Catalogue | |||
| Provider | Anthropic | Meta | |
| Category | chat | chat | image |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request |
| Released | — | — | — |
| Description | |||
| Summary | Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks. | 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 Pro Image served from Google AI Studio. Billed per image at US$0.134. 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. |