Grok-4 Heavy
Capability Radar & Benchmark Scores
Multi-Axis Capability Radar
Comparing Grok-4 Heavy against Frontier Top 10 & Open-Source average
Where Grok-4 Heavy Leads
All Verified Benchmark Evaluations
Direct Pass@1 and resolution rates across standardized evaluations.
Run Benchmarks on Dedicated AI Clusters
Zero-cold-start inference endpoints with dedicated GPU instances.
Executive Analysis & Verdict
Grok-4 Heavy by xAI is a proprietary Large Language Model ranking #45 globally with an overall benchmark score of 41.
Key Strengths & Highlights
- •High overall benchmark score of 41 on frontier evaluation suites
- •Robust reasoning performance (39.3) and coding accuracy (17.7)
- •Optimized inference throughput with extended token context
Limitations & Considerations
- •Subject to standard provider rate limits and API quota
Architectural Overview & Capability Profile
Grok-4 Heavy is developed by xAI as an advanced foundation model engineered for production enterprise applications, reasoning workflows, and autonomous problem-solving. On the comprehensive RankLLMs composite evaluation index, Grok-4 Heavy registers an overall benchmark rating of 41.0 / 100.
Operating under a Proprietary license structure, Grok-4 Heavy is served via high-throughput managed API endpoints designed for low-latency production queries.
Benchmark Performance & Real-World Utility
In standardized laboratory and real-world evaluation suites, Grok-4 Heavy demonstrates calibrated proficiency across key performance vectors:
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SWE-bench Verified Software Engineering (17.7%): Measures multi-file GitHub issue resolution. The model demonstrates practical capability in localizing source code bugs, synthesizing functional patches, and passing rigorous integration test matrices. For evaluation methodology, consult our SWE-bench Pro guide.
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GPQA Diamond Scientific Reasoning (39.3%): Assesses graduate-level domain problem solving across physics, chemistry, and biology, minimizing hallucinations in multi-step deductive arguments. See our Humanity’s Last Exam benchmark analysis.
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MATH-500 Competition Mathematics (39.3%): Evaluates formal mathematical problem solving and symbolic derivation, providing foundational logic for algorithmic computing.
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Terminal-Bench Execution (17.7%): Reflects proficiency in interactive command-line environments, shell tool use, and automated DevOps scripting.
Inference Latency & Cost Architecture
- Token Context Window: 1.0M tokens, allowing large documents, multi-file codebases, and long conversation memories to be processed in a single context window.
- Inference Speed: Reference throughput clocks at approximately 75 tokens/second, enabling responsive streaming in developer tools and interactive interfaces.
- Commercial Pricing: API consumption is billed at $3.00 per 1M input tokens and $15.00 per 1M output tokens, offering predictable scaling for high-volume enterprise traffic.
Strengths, Limitations & Ideal Workflows
Primary Strengths
- High overall benchmark score of 41 on frontier evaluation suites
- Robust reasoning performance (39.3) and coding accuracy (17.7)
- Optimized inference throughput with extended token context
Known Considerations
- Subject to standard provider rate limits and API quota
Recommended Use Cases
Enterprise production applications, coding assistance, and advanced reasoning.
Related Comparisons & Leaderboard Context
- Compare with alternatives in the Model Comparison Engine
- Compare global rankings on the AI Model Leaderboard
- View complete platform index in our HTML Sitemap & Directory
- Explore top coding models in our Best LLM for Coding Guide
Frequently Asked Questions About Grok-4 Heavy
What is Grok-4 Heavy and who developed it?↓
Can Grok-4 Heavy handle very long documents and codebases?↓
Why does Grok-4 Heavy cost more than most alternatives?↓
What is Grok-4 Heavy best at?↓
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Compare Grok-4 Heavy With Frontier Competitors
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Related Research & Guides
Technical evaluations, coding benchmark breakdowns, and verified testing guides.
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