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 | GLM 5.3 Flashglm-5.3-flash | mai-ds-r1:freeNot in the catalogue | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|
| Pricing | |||
| Input | $0.075 / 1M | — | — Not priced per input token |
| Output | $0.25 / 1M | — | — Not priced per output token |
| Cache Write (5m) | $0.075 / 1M | — | Not applicable |
| Cache Write (1h) | $0.075 / 1M | — | Not applicable |
| Cache Read | $0.075 / 1M | — | Not applicable |
| Web Search | $0 / 1M | — | $0 / 1M |
| Context | |||
| Max context | 1M | — | N/A |
| Max output | N/A | — | N/A |
| Capabilities | |||
| Vision | Yes | — | No |
| Function Calling | Yes | — | No |
| JSON Mode | Yes | — | No |
| Streaming | Yes | — | No |
| Catalogue | |||
| Provider | Z.AI | — | Fish Audio |
| Category | chat | — | voice |
| Charge type | Pay As You Go | — | Pay As You Go |
| Released | — | — | 2026-09-24 |
| Description | |||
| Summary | 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. | — | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |