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
- GPT-6 Astra ProOpenAIRemove
- inklingThinkingMachinesRemove
- Muse Spark 1.3MetaRemove
4 is the maximum. Remove one to add another.
| Attribute | GLM 5.3 Flashglm-5.3-flash | GPT-6 Astra Progpt-6-astra-pro | inklinginkling | Muse Spark 1.3muse-spark-1.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.075 / 1M | $10.00 / 1M | $0 / 1M | $1.25 / 1M |
| Output | $0.25 / 1M | $50.00 / 1M | $0 / 1M | $4.25 / 1M |
| Cache Write (5m) | $0.075 / 1M | $10.00 / 1M | — | $1.25 / 1M |
| Cache Write (1h) | $0.075 / 1M | $10.00 / 1M | — | $1.25 / 1M |
| Cache Read | $0.075 / 1M | $10.00 / 1M | $0 / 1M | $1.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Cache Write | — | — | $0 / 1M | — |
| Context | ||||
| Max context | 1M | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | Yes |
| Function Calling | Yes | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Z.AI | OpenAI | ThinkingMachines | Meta |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Free | Pay As You Go |
| Released | — | — | — | — |
| 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. | 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. | Inkling is a general-purpose multimodal autoregressive transformer model from Thinking Machines Lab, supporting text, image, and audio inputs with text output. It is designed for a wide range of applications, including reasoning, coding, multilingual understanding, and multimodal interaction. Optimized for agentic workflows, tool use, coding assistants, chatbots, retrieval-augmented generation (RAG), and instruction following, Inkling provides a versatile foundation for production AI systems requiring robust language and multimodal capabilities. | Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows. |