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 | Qwen3 Next 80B A3B Instructqwen3-next-80b-a3b-instruct | Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex |
|---|---|---|
| Pricing | ||
| Input | $0.10 / 1M | — |
| Output | $0.40 / 1M | — |
| Cache Write (5m) | $0.10 / 1M | Not applicable |
| Cache Write (1h) | $0.10 / 1M | Not applicable |
| Cache Read | $0.10 / 1M | Not applicable |
| Web Search | $0 / 1M | — |
| Request | — | $0.0336 / request |
| Billing | — | Pay Per Request |
| Context | ||
| Max context | 262.1K | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | No | Yes |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Alibaba | |
| Category | chat | image |
| Charge type | Pay As You Go | Pay Per Request |
| Released | — | — |
| Description | ||
| Summary | Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model optimized for fast, stable answers without exposing chain-of-thought. It handles complex reasoning, code generation, knowledge QA, and multilingual tasks with strong alignment and formatting reliability. Designed for high throughput and stability on ultra-long inputs and multi-turn conversations, it’s well suited for RAG, tool use, and agent workflows where consistent final outputs matter. It delivers near–large-model performance with efficient inference, making it a strong choice for production assistants and long-context problem solving. | 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. |