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Grok 3.5
Grok 3.5
Advanced AI for Text Understanding and Generation
What is Grok 3.5?
Grok 3.5, developed by xAI, is a state-of-the-art AI model designed for understanding and generating human-like text. As the latest iteration in the Grok series, Grok 3.5 offers enhanced contextual understanding, coherence, and versatility compared to its predecessors. It empowers writers, educators, and developers with the ability to produce compelling text content on demand, ushering in a new era of AI-assisted creativity in writing, content creation, customer service, and education.
Key Features of Grok 3.5
Use Cases of Grok 3.5
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What are the Risks & Limitations of Grok 3.5
Limitations
- Echo Chamber Bias: Heavily influenced by the "opinionated" nature of X data.
- Fact Check Lag: Real-time data can be misinformation before it is verified.
- Formatting Drift: Often uses informal slang in professional environments.
- Context Recall: Struggles to remember facts from earlier in long threads.
- Math Fragility: Reasoning often uses "brute force" over elegant logic.
Risks
- Public Data Scraping: Uses user posts for training, raising privacy outcries.
- Unhinged Mode: Can generate toxic, offensive, or highly biased content.
- Misinformation Loop: May amplify viral fake news found on social feeds.
- Identity Theft: High ability to mimic specific user writing styles accurately.
- Data Poisoning: Malicious X campaigns can skew the model's future outputs.
Benchmarks of the Grok 3.5
Parameter
- Quality (MMLU Score)
- Inference Latency (TTFT)
- Cost per 1M Tokens
- Hallucination Rate
- HumanEval (0-shot)
Grok 3.5
- Not publicly available
- 59 tokens/second
- $3/1M input, $15/1M output
- 8%
- Not publicly available
X.com Access
Log in to your X (formerly Twitter) account and click the "Grok" icon located in the left-hand sidebar menu.
Subscription
Confirm you have an active X Premium+ subscription, which is currently required to access the 3.5 model series.
Mode Selection
Toggle the "Fun Mode" or "Regular Mode" depending on whether you want a witty or concise conversational style.
Real-Time Data
Enter a query about current news; Grok 3.5 will automatically scan X's live data stream to provide updated info.
Direct Link
Alternatively, visit grok.com directly for a full-screen, focused chat experience outside of the social media timeline.
History Sync
Review your previous conversations which stay synced across both the X app and the standalone Grok web interface.
Pricing of the Grok 3.5
Grok 3.5, xAI's advanced reasoning model (mid-2025 release), follows pay-as-you-go API pricing through the xAI platform at approximately $3.00 per million input tokens and $15.00 per million output tokens for standard access, positioning it as a premium frontier option. X Premium+ subscribers gain priority access at $40/month (increased from prior tiers), while SuperGrok plans offer enhanced limits like DeepSearch and higher image generation for $30/month or $300/year; batch processing provides 50% discounts.
Third-party providers like OpenRouter report pass-through rates around $3/$15 blended, significantly above efficient models but competitive with Claude Opus 4 for real-time search and long-context capabilities (2M tokens). Self-hosting remains unavailable as weights stay proprietary.
Delivering strong performance on SWE-bench and real-time X data integration, Grok 3.5 targets high-value agentic workflows despite elevated costs, roughly 3-5x pricier than Chinese frontiers like ERNIE X1 for equivalent reasoning in 2026 production environments.
As Grok 3.5 evolves, future versions are expected to offer even greater contextual depth, personalization, and interactivity. xAI's dedication to advancing AI ensures that tools like Grok enhance human creativity and productivity, rather than replacing them.
Get Started with Grok 3.5
Frequently Asked Questions
Since Grok 3.5 pulls live data from the X platform, the entropy of the input can fluctuate. Developers should implement rigid schema validation on the client side to ensure that dynamic information does not break the expected structure. Using guided decoding or constrained sampling helps maintain format reliability even when the model processes rapidly evolving data streams.
When using the full 128k window, memory consumption scales significantly. Engineers should utilize KV cache compression or paged attention to prevent VRAM spikes. For cost efficiency, it is recommended to use a semantic reranker to filter documents before injection, as filling the entire window on every call can lead to high latency and increased token expenditure without proportional gains.
Grok 3.5 is primarily accessible via xAI API or enterprise partnerships. Developers looking for local deployment should check for specific weight releases in the GGUF or EXL2 formats. If weights are available, the model typically requires high memory bandwidth GPUs like the H100 to handle its parameter density. Otherwise, engineers should focus on optimizing API orchestration for scalability.
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