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 | Gemini 3.5 Transcribegemini-3.5-transcribe | Gemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio | Hy4 previewhy4-preview |
|---|---|---|---|
| Pricing | |||
| Input | — Not priced per input token | — | $0.834 / 1M |
| Output | — Not priced per output token | — | $2.50 / 1M |
| Cache Write (5m) | Not applicable | Not applicable | $0.834 / 1M |
| Cache Write (1h) | Not applicable | Not applicable | $0.834 / 1M |
| Cache Read | Not applicable | Not applicable | $0.834 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M |
| Request | — | $0.0336 / request | — |
| Billing | — | Pay Per Request | — |
| Context | |||
| Max context | 98.3K | N/A | 1M |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | Yes |
| Function Calling | Yes | No | Yes |
| JSON Mode | No | No | Yes |
| Streaming | No | No | Yes |
| Catalogue | |||
| Provider | Tencent | ||
| Category | voice | image | chat |
| Charge type | Pay As You Go | Pay Per Request | Pay As You Go |
| Released | 2026-09-25 | — | — |
| Description | |||
| Summary | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. | Gemini 3.1 Flash Lite Image served from Google AI Studio. 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. | Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows. |