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.
- GLM 5.3 FlashZ.AIRemove
- mai-ds-r1:freeNot in the catalogueRemove
- Perceptron Mk1.5PerceptronRemove
- Muse Spark OpenMetaRemove
4 is the maximum. Remove one to add another.
| Attribute | GLM 5.3 Flashglm-5.3-flash | mai-ds-r1:freeNot in the catalogue | Perceptron Mk1.5perceptron-mk1.5 | Muse Spark Openmuse-spark-open |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.075 / 1M | — | $0.15 / 1M | $1.25 / 1M |
| Output | $0.25 / 1M | — | $1.50 / 1M | $4.25 / 1M |
| Cache Write (5m) | $0.075 / 1M | — | $0.15 / 1M | $1.25 / 1M |
| Cache Write (1h) | $0.075 / 1M | — | $0.15 / 1M | $1.25 / 1M |
| Cache Read | $0.075 / 1M | — | $0.15 / 1M | $1.25 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | — | 36.9K | 1M |
| Max output | N/A | — | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | — | No | Yes |
| Function Calling | Yes | — | No | Yes |
| JSON Mode | Yes | — | No | Yes |
| Streaming | Yes | — | Yes | Yes |
| Catalogue | ||||
| Provider | Z.AI | — | Perceptron | Meta |
| Category | chat | — | chat | chat |
| Charge type | Pay As You Go | — | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-09-25 | — |
| 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. | — | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential. |