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| Attribute | Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b | GLM 5.3 Flashglm-5.3-flash |
|---|---|---|
| Pricing | ||
| Input | $1.80 / 1M | $0.075 / 1M |
| Output | $5.40 / 1M | $0.25 / 1M |
| Cache Write (5m) | $1.80 / 1M | $0.075 / 1M |
| Cache Write (1h) | $1.80 / 1M | $0.075 / 1M |
| Cache Read | $1.80 / 1M | $0.075 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 262K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Alibaba | Z.AI |
| Category | chat | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights. | 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. |