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.
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| Attribute | Qwen3.8 27Bqwen3.8-27b | GPT-6 Astragpt-6-astra | DeepSeek V3deepseek-v3 | GLM 5.3 Flashglm-5.3-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.45 / 1M | $10.00 / 1M | $0.38 / 1M | $0.075 / 1M |
| Output | $3.20 / 1M | $50.00 / 1M | $0.89 / 1M | $0.25 / 1M |
| Cache Write (5m) | $0.45 / 1M | $10.00 / 1M | $0.38 / 1M | $0.075 / 1M |
| Cache Write (1h) | $0.45 / 1M | $10.00 / 1M | $0.38 / 1M | $0.075 / 1M |
| Cache Read | $0.45 / 1M | $10.00 / 1M | $0.38 / 1M | $0.075 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 262K | 1M | 163.8K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Alibaba | OpenAI | DeepSeek | Z.AI |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments. | GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work. | — | 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. |