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.
4 is the maximum. Remove one to add another.
| Attribute | Qwen3.8 27Bqwen3.8-27b | GLM 5.3glm-5.3 | Veo 3 Fastveo3-fast | GPT-6 Astra Progpt-6-astra-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.45 / 1M | $1.40 / 1M | — | $10.00 / 1M |
| Output | $3.20 / 1M | $4.40 / 1M | — | $50.00 / 1M |
| Cache Write (5m) | $0.45 / 1M | $1.40 / 1M | Not applicable | $10.00 / 1M |
| Cache Write (1h) | $0.45 / 1M | $1.40 / 1M | Not applicable | $10.00 / 1M |
| Cache Read | $0.45 / 1M | $1.40 / 1M | Not applicable | $10.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Request | — | — | $1.26 / request | — |
| Billing | — | — | Pay Per Request | — |
| Context | ||||
| Max context | 262K | 1M | N/A | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | Alibaba | Z.AI | OpenAI | |
| Category | chat | chat | video | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request | 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. | GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution. | — | GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost. |