A multimodal reasoning model for advanced coding, agentic software, and knowledge work, with image understanding, 500K context, structured output, and tool use.
Grok
| Item | Specification |
|---|---|
| Input | Text, image |
| Output | Text |
| Context | 500,000 tokens |
| Max Output | Not separately published by the provider |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported |
Grok 4.5 is a multimodal reasoning model released by SpaceXAI on July 16, 2026 under the API code grok-4.5. Built for coding, agentic software, engineering, and knowledge work, it supports text and image inputs, text output, a 500,000-token context window, function calling, and structured output.
Its training emphasizes multi-step software engineering, science, engineering, and mathematics. It can build complete applications from brief requirements and use tools for research, spreadsheets, presentations, and documents. Its effective reasoning levels are low, medium, and high, with high as the default; xhigh is treated as high on this model.
| Feature | Benefit |
|---|---|
| 500,000-Token Context | Fits large repositories, long documents, and extended agent trajectories. |
| Engineering-Focused Training | Strengthens multi-step software engineering, coding, science, engineering, and mathematics. |
| Efficient Reasoning | Completes real engineering work in fewer steps for sustained development workflows. |
| Text and Image Input | Analyzes code, requirements, screenshots, and charts in one context. |
| Structured Output | Returns schema-constrained results for reliable downstream parsing. |
| Function Calling | Connects the model to external tools, business systems, and validation flows. |
Use low for simple tools and fast tasks, medium for complex data or long-context work, and the default high for difficult engineering, mathematics, and multi-step problems. Compare completion rate, tool loops, and response time on representative workloads.
It does not provide a distinct xhigh level. Requests using xhigh are treated as high, so applications should not model them as separate capability tiers.
Grok 4.6 is the later release with a stronger focus on long-running agents and ambitious visual or interactive work, while 4.5 remains suitable for established coding and knowledge workflows. Run regression tests on repositories, tools, and image inputs before migrating.
Server-side search, file retrieval, code execution, and custom functions can extend the model. Current information requires explicit tools and verification of important sources.
Grok 4.5 is available on LinkModel. Use the public model ID, request schema, and parameters shown on LinkModel's live page, beginning with short text and streaming tests before images and tools.
Confirm context, image input, reasoning levels, structured output, and tool support on the current LinkModel page, then test long context, images, functions, and error recovery separately. Do not assume xAI-specific tools or parameters pass through unchanged.
Tiered by input prompt tokens (incl. cache): once over the threshold, the whole request is billed at the higher tier.
| Token Type | Short context ≤200K | Long context >200K |
|---|---|---|
| Input | $1.4$2-30% | $2.8$4-30% |
| Output | $4.2$6-30% | $8.4$12-30% |
| Reasoning output | $4.2$6-30% | $8.4$12-30% |
| Cached input | $0.21$0.3-30% | $0.42$0.6-30% |