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.
- DeepSeek V4.1 Flash 1017
- Nemotron 3.5 Super VL (Free)
- Nemotron 3.5 Super VL
- Muse Spark Open
- Gemini 4 Argon
- Muse Wonder
- Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
- Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access
| Attribute | MiniMax M3minimax-m3 | Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex |
|---|---|---|
| Pricing | ||
| Input | $0.30 / 1M | — |
| Output | $1.20 / 1M | — |
| Cache Write (5m) | $0.30 / 1M | Not applicable |
| Cache Write (1h) | $0.30 / 1M | Not applicable |
| Cache Read | $0.30 / 1M | Not applicable |
| Web Search | $0 / 1M | — |
| Request | — | $0.0336 / request |
| Billing | — | Pay Per Request |
| Context | ||
| Max context | 1M | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | MiniMax | |
| Category | chat | image |
| Charge type | Pay As You Go | Pay Per Request |
| Released | — | — |
| Description | ||
| Summary | MiniMax-M3 is a multimodal foundation model from MiniMax, supporting text, image, and video inputs with text output and a 1M-token context window. It is designed for long-horizon agentic workflows, coding, and tool-driven task execution, enabling sustained reasoning across complex tasks. Built on MiniMax Sparse Attention (MSA), the model dramatically improves long-context efficiency by replacing full attention with KV-block selection, reducing compute costs at 1M-token contexts while maintaining strong performance. Trained as a native multimodal model and optimized for multi-turn, production-style collaboration, MiniMax-M3 excels at extended, multi-step workflows rather than single-turn interactions. | 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. |