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.
- Gemini 3.1 Flash Image (Google Vertex AI)GoogleRemove
- Gemini 3.5 TranscribeGoogleRemove
- GLM 5.3 FlashZ.AIRemove
| Attribute | Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex | Gemini 3.5 Transcribegemini-3.5-transcribe | GLM 5.3 Flashglm-5.3-flash |
|---|---|---|---|
| Pricing | |||
| Request | $0.067 / request | — | — |
| Billing | Pay Per Request | — | — |
| Cache Write (5m) | Not applicable | Not applicable | $0.075 / 1M |
| Cache Write (1h) | Not applicable | Not applicable | $0.075 / 1M |
| Cache Read | Not applicable | Not applicable | $0.075 / 1M |
| Input | — | — Not priced per input token | $0.075 / 1M |
| Output | — | — Not priced per output token | $0.25 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | N/A | 98.3K | 1M |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes |
| JSON Mode | No | No | Yes |
| Streaming | No | No | Yes |
| Catalogue | |||
| Provider | Z.AI | ||
| Category | image | voice | chat |
| Charge type | Pay Per Request | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-25 | — |
| Description | |||
| Summary | Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. | GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads. |