Grok 4.3
xAI's latest flagship Grok model with 1M context, image input, configurable reasoning, and strong agentic tool use.
About Grok 4.3
Grok 4.3 made a deliberate trade: xAI stopped chasing frontier performance and built something more practical instead. The result is a model that earns its keep through native X/Twitter integration — pulling posts seconds old when news breaks — and a 1 million token context window that handles entire codebases or lengthy regulatory documents in a single pass. At $1.25 per million input tokens, it arrives 40-60% cheaper than its predecessor Grok-4, and users find real value in its DeepSearch mode, which combines live web data with X discussions in a way that rivals Perplexity for current-events research. Frontend developers report genuinely polished web UI output, moving past the "cheap AI demo" look. The honest trade-off: creative writers consistently find it too literal and verbose, and its 16-second time-to-first-token sits at the high end for reasoning models in this price range. If your work is anchored in real-time information or long-document analysis rather than narrative craft, Grok 4.3 offers a focused, cost-sensible tool.
Best for
- Real-time news tracking and social media trend analysis via native X/Twitter integration
- Long-document analysis — processing full codebases, research corpora, or regulatory PDFs within a 1M token context window
- Current events research using DeepSearch mode, which combines live web results with X discussions
- Rapid frontend prototyping that produces professionally polished web UI code
- Security audits and vulnerability assessments where less restrictive guardrails are an advantage
Specs & capabilities
How Grok 4.3 stacks up — intelligence, speed, context, and modalities.
Intelligence
High
Speed
Fast
Context window
1,000,000 tokens
Max output
1,000,000 tokens
Knowledge cutoff
December 2025
Supported endpoints
v1/chat/completions · v1/responses · v1/batch
Input and output
Input: Text, Image
Output: Text
Availability notes
10M TPM · 1,800 RPM · Cached input: $0.20 / 1M tokens · Higher context pricing applies above 200K context · Configurable reasoning: none, low, medium, or high; defaults to low · Structured outputs, web search, X search, function calling, and code execution supported
Frequently asked questions
How much does Grok 4.3 cost?
Standard pricing is $1.25 per million input tokens and $2.50 per million output tokens. Cached inputs drop to $0.20 per million, which can cut effective input costs by up to 90% on repeated context. Requests exceeding 200k input tokens are billed at $2.50 per million input tokens.
What is the context window?
Grok 4.3 supports a 1 million token context window, with up to 1 million tokens per response — suitable for processing entire codebases or lengthy documents in a single pass.
What makes it stand out compared to other models?
Its native X/Twitter integration is genuinely unique: it can pull posts that are seconds old, making it the strongest option for breaking news tracking, trend analysis, and social media monitoring. No other major model has this at the same depth.
What is Grok 4.3 not good at?
Creative writing is a consistent weakness — users describe it as too literal and robotic with weak narrative coherence. It also tends toward verbose output, and its 16-second time-to-first-token is high relative to competing models in its price range.
How does it compare to Grok-4?
Grok 4.3 is 40-60% cheaper than Grok-4 (which launched at $3/$15 per million input/output), adds native video input, and includes architectural improvements. However, it does not significantly surpass Grok-4 in raw capability and is positioned as a practical productivity tool rather than a frontier model.
Who should choose Grok 4.3?
Journalists, social media managers, researchers, and teams doing current-events work will benefit most from the X integration and DeepSearch mode. It is also a strong pick for cost-sensitive applications needing a large context window, or developers prototyping web UIs. Writers and users needing fast response times should look elsewhere.