Analysis Summary
xAI's Grok 4.5 is a frontier multimodal model with excellent reasoning, coding, and agentic capability. It supports a 500,000-token context window, vision, file input, tool use, and function calling, providing the components needed for complex engineering, document analysis, and multi-step operational workflows.
For Design for Online, it is suitable for autonomous coding assistance, technical SEO systems, long-form research, structured content, and client-facing tasks where depth and tool reliability matter. The context window is smaller than some one-million-token alternatives, but remains ample for many codebases and business documents. Tool-driven processes should still include review controls for consequential actions.
Pricing is premium but competitive with other high-capability models. Lead with Grok 4.5 for difficult reasoning and agentic work, then use cheaper models for routine drafting and high-volume transformations.
Assessed August 9, 2026
Editorial notes
Grok 4.5 combines frontier reasoning and coding with strong agentic capability, a 500K context, vision, file input, and tool calling. It is a powerful choice for engineering and complex automation, with premium pricing limiting bulk use.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Grok 4.5 combines frontier reasoning and coding with strong agentic capability, a 500K context, vision, file input, and tool calling. It is a powerful choice for engineering and complex automation, with premium pricing limiting bulk use.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
55.8 Intelligence Index·72.4 Coding Index·48.9 Agentic Index
How xAI: Grok 4.5 compares
XAI: Grok 4.5 ranks #13 of 420 AI models we track for overall intelligence, #13 of 193 for coding, #20 of 175 for agentic tasks. Its 500K-token context window is larger than 79% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
What would xAI: Grok 4.5 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save xAI: Grok 4.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout xAI: Grok 4.5
Grok 4.5 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.
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<a href="https://designforonline.com/ai-models/xai-grok-4-5/"><img src="https://designforonline.com/?aiml_badge=xai-grok-4-5&theme=dark" alt="xAI: Grok 4.5, ranked #7 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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Frequently asked questions about xAI: Grok 4.5
How much does xAI: Grok 4.5 cost?
xAI: Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of xAI: Grok 4.5?
xAI: Grok 4.5 has a context window of 500,000 tokens (500K).
Is xAI: Grok 4.5 good for coding?
On our coding benchmark index, xAI: Grok 4.5 ranks #13 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can xAI: Grok 4.5 do?
xAI: Grok 4.5 supports image/vision input, tool use, and function calling.
Who created xAI: Grok 4.5?
xAI: Grok 4.5 is developed by xAI and was released on July 8, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm