Grok 4.6 Is Here: GPT-5.6-Level Benchmark Results & Coding Performance

TL; DR xAI officially released Grok 4.6 on August 12, 2026 and made it available through the xAI API, Cursor, and Grok Build. It has a 500,000-token context window, accepts text and images, offers four reasoning-effort levels,  and has a February 1, 2026 knowledge cutoff. According to xAI’s official Grok 4.6 announcement, it matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index, a composite of nine evaluations. 

API pricing starts at $2 per million input tokens, $0.50 per million cached input tokens and $6 per million output tokens for prompts below 200,000 tokens. Once a prompt reaches 200,000 tokens, the entire request is billed at the long-context rates of $4 input, $1 cached input and $12 output per million tokens. For developers seeking flexible multi-model access, platforms like CometAPI make it easy to integrate Grok 4.6 alongside other frontier models,The API price is 80% of xAI's price.

Key Takeaways

• xAI officially released Grok 4.6 on August 12, 2026; earlier release-window reports are now obsolete.
• The API model ID is , and the model is also available in Cursor and Grok Build.grok-4.6
• Its context window is 500K tokens, with text and image input and text-only output.
• Standard pricing below 200K prompt tokens is $2/M input, $0.50/M cached input, and $6/M output.
• A prompt of 200K tokens or more triggers higher rates for all tokens in that request, not only those above the threshold.
• Reasoning effort can be set to low, medium, high, or xhigh; is the documented default.
• Grok 4.6 matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index (score of 61) and shows major gains over Grok 4.5 across agentic coding, knowledge work, and long-horizon tasks.
• Grok Imagine Image 2.0 is a separate image-generation API. Grok 4.6 can understand images but does not itself return generated images.

Grok 4.6 Specifications and Price at a Glance

The following specifications are confirmed in xAI’s model documentation and August 12 release notes.

Official xAI API pricing

xAI’s current API pricing table separates short-context and long-context requests.

The threshold is especially important for codebase agents. When the request prompt reaches 200,000 tokens, xAI charges the long-context rate for all tokens in that request, not only the portion exceeding the threshold. A request containing 199,000 prompt tokens can therefore cost materially less than one containing 200,000, even if their sizes are nearly identical.

No batch discount is listed for Grok 4.6 in the current xAI pricing documentation. Teams should not assume that offline jobs receive the discounts available for certain other xAI models.

What Is Grok 4.6?

Grok 4.6 is SpaceXAI’s latest flagship large language model, released on August 12, 2026. It builds directly on Grok 4.5 by applying a longer supplemental training run focused on curated model-generated data for advanced reasoning and technical concepts, high-quality engineering datasets, an improved optimizer, and expanded reinforcement learning for coding and knowledge-work scenarios.

The model retains the same underlying 1.5-trillion-parameter foundation as its predecessor; the gains come primarily from post-training rather than a parameter-scale increase. It is designed specifically to stay effective across many steps—whether researching a topic, analyzing large amounts of information, navigating and editing an unfamiliar codebase, or turning a high-level idea into a polished application or work artifact. SpaceXAI emphasizes improved self-checking behavior on long-horizon projects and stronger performance on interactive and visual work.

The difference from a traditional chatbot is important.

A conventional LLM workflow looks like:

Prompt → Generate answer

Grok 4.6 is designed for workflows closer to:

Goal → Plan → Research → Use tools → Modify code → Test → Evaluate → Continue

xAI's current positioning emphasizes the model's ability to stay on complex projects for longer, work across codebases, research unfamiliar topics, build applications, and verify its own work.

This makes Grok 4.6 particularly relevant to the rapidly expanding AI coding-agent and autonomous-agent market.

What Are the Main Features of Grok 4.6?

Long-Running Agent Capability

The most important Grok 4.6 improvement is its focus on long-running tasks.

Rather than optimizing only for one-shot responses, the model is designed to maintain progress through multiple stages of a project.

Typical examples include:

• Building an application
• Debugging a large repository
• Researching an unfamiliar subject
• Modifying several components
• Running tests
• Investigating failures
• Revising the implementation
• Checking the final result

This is a fundamentally different target from traditional instruction-following benchmarks.

Advanced Coding Performance

Coding is one of Grok 4.6's clearest areas of improvement.

Current benchmark reporting gives:

• 65.9% on DeepSWE 1.1
• 69.9% on CursorBench 3.2
• 61.3% on FrontierCode 1.1 Extended

These evaluations are particularly relevant because they target coding-agent behavior rather than simple code completion.

The improvement from Grok 4.5 to Grok 4.6 on DeepSWE 1.1 is especially notable, rising from approximately 54% to 65.9% in the reported comparison.

Multimodal Input

Grok 4.6 supports text and image inputs, allowing developers to combine visual information with reasoning.

Potential applications include:

• Screenshot debugging
• UI analysis
• Chart interpretation
• Document understanding
• Visual research
• Image-based coding tasks

This makes Grok 4.6 more flexible than a purely text-based coding model.

Web and X Search

Grok's access to search is a significant part of its ecosystem.

The API supports:

• Web search
• X search
• Function calling
• Code execution

xAI's current Grok 4.5 API documentation confirms these tool capabilities in the Grok API environment.

For research agents, this means the model can potentially move from static pretrained knowledge toward current-information retrieval plus reasoning.

Configurable Reasoning

Grok's API exposes configurable reasoning effort.

This lets developers trade off:

speed / cost ↔ reasoning depth

For simple tasks, lower reasoning can reduce unnecessary computation.

For complex coding or research tasks, higher reasoning can provide more deliberate problem solving.

Cost-Competitive Frontier Performance

Grok 4.6's pricing is arguably one of its strongest commercial advantages.

The reported standard API price is:

• $2 / 1M input tokens
• $6 / 1M output tokens

That is the same pricing reported for Grok 4.5, despite the significant capability improvements.

This creates an unusually aggressive cost/performance proposition for a frontier model.

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How Does Grok 4.6 Perform on Benchmarks?

The most useful current benchmark data is concentrated around agentic intelligence and coding.

The Artificial Analysis Intelligence Index score of 61 reportedly puts Grok 4.6 at the same level as GPT-5.6 Sol on that index.

The GDPVal-AA v2 score of 1,753 Elo is also significant because GDPVal evaluates professional knowledge-work tasks rather than merely academic question answering.

The Important Benchmark Takeaway

The strongest evidence for Grok 4.6 is not a single MMLU-style score.

Its benchmark profile points toward:

coding + agents + knowledge work + long-running execution

That is exactly where modern AI development is moving.

For a website like CometAPI, this is an important distinction to preserve: Grok 4.6 should be marketed primarily as an agentic frontier model, rather than another generic chatbot model.

How does Grok 4.6 compare with its predecessor and competitors?

Grok 4.6 vs Grok 4.5

The important point is that Grok 4.6 does not appear to be a simple price-tier replacement for Grok 4.5. It is a capability upgrade aimed more heavily at long-horizon agent workflows.

xAI's current Grok 4.5 documentation lists the model at $2/$6 per million tokens, with configurable reasoning and tool support.

Comparison Table: Grok 4.6 vs Key Competitors

Data drawn from SpaceXAI announcement, Artificial Analysis, and public model cards as of August 13, 2026.

The current Artificial Analysis comparison is particularly interesting.

Grok 4.6 reportedly scores 61 on the Intelligence Index, matching GPT-5.6 Sol. But the economics are very different.

The exact pricing of competing GPT variants should be checked against their current provider pricing before publication, but the key market observation is clear: Grok 4.6 is competing at frontier-level benchmark performance while maintaining a relatively aggressive token price.

That makes Grok 4.6 particularly attractive for applications where high-volume agent execution would otherwise make premium frontier models expensive.

What Are the Limitations of Grok 4.6?

500K Context Is Smaller Than Some 1M-Context Competitors

Grok 4.6's reported 500K context is large, but it is not the largest context window available in the frontier-model market.

For very large repositories or enormous document collections, a 1M-context model may have an advantage.

Proprietary Model

Unlike MiMo-V2.5-Pro, Grok 4.6 is not an open-weight model.

Developers cannot download the model and deploy it independently.

Benchmark Comparisons Need Care

Different coding benchmarks use different harnesses, prompts, tools, and evaluation procedures.

For example, SWE-Bench Pro is specifically designed around realistic long-horizon software-engineering problems, and benchmark results can vary substantially depending on the agent scaffold.

Therefore, 69.9% CursorBench should not be interpreted as "Grok 4.6 is 69.9% better than another model."

The correct interpretation is that it achieved that score under the benchmark's particular evaluation setup.

Agent Cost Can Be Higher Than Token Pricing Suggests

The $2/$6 token price is attractive, but an autonomous agent can consume enormous numbers of tokens through:

• Tool calls
• Repeated searches
• Code execution
• Failed attempts
• Long context
• Self-verification

The real unit economics therefore depend on cost per successfully completed task, not simply cost per million tokens.

Price and Access

Official Pricing (standard tier, below ~200K prompt tokens):

• Input: $2.00 per 1M tokens
• Cached input: approximately $0.50 per 1M tokens
• Output: $6.00 per 1M tokens

A faster variant is priced at twice these rates. Rates may double for very long contexts (≥200K). Prompt caching is strongly recommended for agent loops to keep costs low.

Availability:

• Cursor and Grok Build (2× included usage for the first week)
• SpaceXAI API (grok-4.6)
• Partners: OpenRouter, Vercel, Cloudflare, and others
• SuperGrok chat/apps (via model picker)

CometAPI Recommendation: For developers who already use (or plan to use) multiple frontier models, CometAPI provides seamless access to Grok 4.6 through a single OpenAI-compatible endpoint (https://api.cometapi.com/v1). You get unified billing, usage analytics, competitive effective rates across 500+ models (including GPT, Claude, Gemini, DeepSeek, and Grok variants), and the ability to switch models with a one-line change. This is especially valuable when A/B testing Grok 4.6 against other coding or agent models or when building production systems that benefit from model routing and fallback. Sign up at cometapi.com to obtain a free API key and explore the live model catalog.

Should You Switch to Grok 4.6?

Yes, if:

• You work heavily in Cursor or build long-running coding/knowledge agents and want strong multi-step reliability at competitive cost.
• Token economics matter—Grok 4.6 delivers near-parity intelligence with GPT-5.6 Sol at roughly one-fifth the output token price of the most expensive frontier options.
• You value turn efficiency (fewer steps and tokens to complete complex tasks).
• You want immediate access to a model that has been explicitly trained for the interactive, visual, and agentic workflows common in modern development.

Consider staying with or mixing other models if:

• Your primary workload is pure competitive programming or specific closed-model strengths (e.g., certain Claude long-context or safety-tuned scenarios).
• You require the absolute highest scores on every individual software-engineering benchmark regardless of cost.
• You need larger context windows than 500K for single-call workloads (some competitors offer 1M+).

Most teams will benefit from evaluating Grok 4.6 side-by-side with their current stack. Because it is available through aggregators such as CometAPI, the switching cost is low—simply change the model name and measure real-world task completion rates, latency, and cost on your own workloads.

Conclusion

Grok 4.6 represents a significant step forward for SpaceXAI: frontier-level intelligence on key composite and agentic benchmarks, meaningful improvements in long-running coding and knowledge-work performance, and continued aggressive pricing that undercuts many closed-source competitors. Its native availability in Cursor, combined with strong multi-step reliability, makes it particularly attractive for developers building real-world software agents and interactive applications.

Whether you access it directly, through Cursor/Grok Build, or via a unified gateway such as CometAPI, Grok 4.6 is ready for production evaluation today. Visit the official announcement at x.ai/news/grok-4-6 for the full details and model card, explore the live catalog on cometapi.com to compare it side-by-side with other leading models, and start building with the new capabilities immediately.

Primary Sources

• Official announcement: https://x.ai/news/grok-4-6
• SpaceXAI docs: https://docs.x.ai/developers/models/grok-4-6
• Artificial Analysis evaluations and articles
• Cursor blog: https://cursor.com/blog/grok-4-6
• Independent coverage from SiliconANGLE, 9to5Mac, VentureBeat, The Decoder, and others (August 12–13, 2026)

Always verify the latest pricing, rate limits, and benchmark numbers on the official pages, as the AI landscape evolves rapidly.