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.
- Qwen3.5 397B A17BAlibabaRemove
- Muse WonderMetaRemove
- Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
- Kimi K3.1 Pro
- DeepSeek V4.1 Flash 1017
- Nemotron 3.5 Super VL (Free)
- Nemotron 3.5 Super VL
- Muse Spark Open
- Gemini 4 Argon
- Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
- Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access
| Attribute | Qwen3.5 397B A17Bqwen3.5-397b-a17b | Muse Wondermuse-wonder | Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex |
|---|---|---|---|
| Pricing | |||
| Input | $0.55 / 1M | $4.00 / 1M | — |
| Output | $3.50 / 1M | $20.00 / 1M | — |
| Cache Write (5m) | $0.55 / 1M | $4.00 / 1M | Not applicable |
| Cache Write (1h) | $0.55 / 1M | $4.00 / 1M | Not applicable |
| Cache Read | $0.55 / 1M | $4.00 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | — |
| Request | — | — | $0.0336 / request |
| Billing | — | — | Pay Per Request |
| Context | |||
| Max context | 256K | 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 | Alibaba | Meta | |
| Category | chat | chat | image |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request |
| Released | — | — | — |
| Description | |||
| Summary | Qwen3.5-397B-A17B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design to achieve higher inference efficiency at large scale. It delivers state-of-the-art performance across a broad range of tasks, including language understanding, logical reasoning, code generation, agent-based workflows, image and video understanding, and GUI interaction. With strong coding and agent capabilities, Qwen3.5-397B-A17B demonstrates robust generalization across diverse multimodal and agentic scenarios, making it well suited for advanced applications that require integrated reasoning across text, vision, and interactive environments. | 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 Lite Image served from Google Vertex AI. Billed per image at US$0.0336. 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 1K. A request for a larger size returns a 1K 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. |