Grok 4.6 vs GPT-5.6 Sol

Grok 4.6 vs GPT-5.6 Sol: Quick Verdict

Grok 4.6 offers better price-to-performance, while GPT-5.6 Sol has the advantage for difficult software engineering, deeper reasoning configurations, and very long-context tasks.

At their strongest commonly compared settings, the gap in overall intelligence is tiny. Artificial Analysis currently scores Grok 4.6 at 61, equal to GPT-5.6 Sol Max at 61 on its Intelligence Index. Grok reaches that level with substantially lower API pricing.

But individual benchmarks tell a more useful story.

Grok 4.6 beats GPT-5.6 Sol Max on CursorBench, GDPval-AA v2, AA-Briefcase, and FrontierCode in the comparison published alongside its launch. GPT-5.6 Sol leads clearly on DeepSWE and Terminal-Bench v3, two demanding software-engineering benchmarks.

So the practical answer is:

• Best overall price-to-performance: Grok 4.6
• Best for difficult software engineering: GPT-5.6 Sol
• Best for agentic knowledge work: Grok 4.6
• Best for long context: GPT-5.6 Sol
• Best API pricing: Grok 4.6
• Best for terminal-heavy coding: GPT-5.6 Sol
• Best for high-volume agents: Grok 4.6
• Best maximum reasoning flexibility: GPT-5.6 Sol

Grok 4.6 vs GPT-5.6 Sol at a Glance

SpaceXAI lists Grok 4.6 with a 500K context window and $2/$6 input/output pricing. OpenAI lists GPT-5.6 Sol with a 1.05M context window, 128K maximum output, and $5/$30 API pricing.

What Is Grok 4.6?

Grok 4.6 is SpaceXAI's frontier model released on August 12, 2026.

It was developed with a particular focus on coding, long-running agents, knowledge work, tool use, and interactive applications. Its training included additional reasoning and engineering data followed by supervised fine-tuning and reinforcement learning across coding, STEM, web development, knowledge work, kernel optimization, and other agentic environments.

Grok 4.6 supports:

• text and image input
• 500,000-token context
• function calling
• structured outputs
• web search
• X search
• code execution
• low, medium, high, and xhigh reasoning effort

Its standard API pricing starts at $2 per million input tokens and $6 per million output tokens.

The combination of frontier-level performance and relatively low token pricing is arguably Grok 4.6's most important feature.

What Is GPT-5.6 Sol?

GPT-5.6 Sol is OpenAI's flagship model in the GPT-5.6 family, released on July 9, 2026.

OpenAI designed Sol for complex professional work, including software engineering, research, science, cybersecurity, computer use, design, and long-running agentic workflows.

GPT-5.6 Sol supports reasoning effort levels of:

• none
• low
• medium
• high
• xhigh
• max

OpenAI also provides multi-agent capabilities that allow complex work to be split across concurrent agents through its Responses API.

The model has a 1,050,000-token context window, supports up to 128,000 output tokens, and is priced at $5 per million input tokens and $30 per million output tokens.

Grok 4.6 vs GPT-5.6 Sol Benchmarks

Looking at one benchmark and declaring a winner is tempting, simple, and mostly useless.

The two models have different performance profiles.

Artificial Analysis currently places Grok 4.6 High and GPT-5.6 Sol Max at the same Intelligence Index score of 61. That index combines evaluations across reasoning, coding, professional work, science, tool use, and other capabilities.

A more detailed comparison shows where each model actually wins.

These figures come from the benchmark comparison published with Grok 4.6; third-party model figures in that table use the best publicly available or self-reported results.

The pattern matters more than the number of wins.

Grok 4.6 performs exceptionally well on agentic knowledge work and editor-style coding. GPT-5.6 Sol performs better on several demanding autonomous software-engineering and terminal tasks.

Grok 4.6 vs GPT-5.6 Sol for Coding

There is no clean universal coding winner.

CursorBench: Grok 4.6 Wins

CursorBench evaluates realistic coding tasks derived from work inside a coding editor.

Grok 4.6 High scores 69.9%, compared with 67.2% for GPT-5.6 Sol Max.

That suggests Grok is particularly competitive for everyday agentic coding involving:

• navigating repositories
• editing multiple files
• implementing features
• following existing code patterns
• iterating inside an IDE

DeepSWE: GPT-5.6 Sol Wins

The picture reverses on DeepSWE.

GPT-5.6 Sol Max scores 73.0%, compared with 65.9% for Grok 4.6 High.

DeepSWE is more focused on long-horizon software engineering in real repositories, so the result matters for difficult engineering tasks where the model must investigate, plan, modify code, test, and recover from failures.

Terminal-Bench: GPT-5.6 Sol Wins

GPT-5.6 Sol also leads on Terminal-Bench v3.0:

• GPT-5.6 Sol Max: 34.6%
• Grok 4.6 High: 26.0%

That is one of the largest gaps between the two models.

Coding Verdict

Choose Grok 4.6 for cost-efficient coding agents, everyday repository work, and high-volume development workflows.

Choose GPT-5.6 Sol for difficult autonomous engineering, terminal-heavy work, and tasks where solving the problem successfully matters more than token cost.

Grok 4.6 vs GPT-5.6 Sol for AI Agents

Both models are built for agentic workflows, but they approach the problem differently.

Grok 4.6 performs particularly well on knowledge-work agents.

On GDPval-AA v2, a benchmark focused on real professional tasks, Grok 4.6 scores 1753 Elo. Artificial Analysis describes it as one of the strongest current models for agentic professional work.

Grok also scores 1577 Elo on AA-Briefcase, ahead of the GPT-5.6 Sol result of 1502 shown in the launch comparison. AA-Briefcase evaluates long-horizon research, analysis, and professional artifact creation.

GPT-5.6 Sol has a different advantage: a broader agent architecture.

OpenAI's Responses API supports Programmatic Tool Calling, allowing the model to write lightweight programs that coordinate tools and process intermediate results. OpenAI also offers multi-agent execution for parallel sub-agent workflows.

Agent Verdict

For research agents, business agents, analysis workflows, and high-volume automation, Grok 4.6 is extremely compelling.

For complex engineering agents or workflows that benefit from parallel sub-agents and deeper orchestration, GPT-5.6 Sol has stronger tooling and architecture options.

Grok 4.6 vs GPT-5.6 Sol for Reasoning

This category requires some care because reasoning effort changes model performance considerably.

Grok 4.6 supports four reasoning levels:

low → medium → high → xhigh

GPT-5.6 Sol supports:

none → low → medium → high → xhigh → max

That means comparing Grok High with Sol Medium, for example, is not an apples-to-apples test.

Artificial Analysis currently scores Grok 4.6 High at 61 and GPT-5.6 Sol Max at 61 overall. GPT-5.6 Sol at xhigh scores lower in its current independent comparison, demonstrating how much inference configuration can affect leaderboard results.

The practical conclusion is more useful than obsessing over one setting:

Grok 4.6 reaches frontier reasoning performance efficiently. GPT-5.6 Sol gives users more room to spend additional compute on particularly difficult problems through Max.

Grok 4.6 vs GPT-5.6 Sol for Research and Knowledge Work

This is one of Grok 4.6's strongest categories.

Artificial Analysis reports that Grok 4.6 reaches 1753 Elo on GDPval-AA v2 and 1577 on AA-Briefcase, putting it among the strongest models for agentic professional and long-horizon knowledge work.

GPT-5.6 Sol is hardly weak here.

OpenAI reports strong results across professional research, browsing, finance, document analysis, presentations, spreadsheets, and complex multi-step knowledge work. It also reaches 92.2% on BrowseComp, a benchmark focused on difficult agentic browsing tasks.

The difference is therefore not simply capability.

It is economics.

For a handful of very difficult research jobs, GPT-5.6 Sol's richer agent infrastructure and large context can be worthwhile.

For a research product processing thousands of jobs, Grok's lower token price becomes difficult to ignore.

Grok 4.6 vs GPT-5.6 Sol Context Window

GPT-5.6 Sol wins clearly.

Grok 4.6: 500,000 tokens GPT-5.6 Sol: 1,050,000 tokens

GPT-5.6 Sol therefore provides slightly more than twice Grok's maximum context capacity.

That matters for workloads involving:

• very large codebases
• huge document collections
• long legal files
• financial archives
• extensive research material
• long-running agent histories
• RAG applications with large retrieved contexts

GPT-5.6 Sol also supports up to 128K output tokens, making it particularly suitable for tasks that require unusually large generated outputs.

But context size comes with an important pricing caveat.

Long-Context Pricing Changes the Comparison

Headline API prices do not tell the whole story.

Grok 4.6

For prompts below 200K tokens:

• Input: $2 / 1M
• Cached input: $0.50 / 1M
• Output: $6 / 1M

When a request reaches 200K prompt tokens, the entire request moves to:

• Input: $4 / 1M
• Cached input: $1 / 1M
• Output: $12 / 1M

GPT-5.6 Sol

Standard pricing is:

• Input: $5 / 1M
• Cached input: $0.50 / 1M
• Output: $30 / 1M

For prompts above 272K input tokens, OpenAI charges 2× the input price and 1.5× the output price for the entire request.

So long context is available on both models, but neither lets you shovel hundreds of thousands of tokens into every prompt indefinitely without changing the economics. Apparently even artificial intelligence has discovered oversized baggage fees.

Grok 4.6 vs GPT-5.6 Sol Pricing

For normal-context API workloads, Grok 4.6 is dramatically cheaper.

Grok is therefore:

• 60% cheaper on uncached input
• 80% cheaper on output

The output difference is particularly important because reasoning models can generate significant numbers of reasoning tokens during complex tasks.

Example: 10M Input + 2M Output Tokens

For a workload using 10 million normal input tokens and 2 million output tokens:

Grok 4.6

Input: $20 Output: $12 Total: $32

GPT-5.6 Sol

Input: $50 Output: $60 Total: $110

Difference: $78

At that workload, Grok costs roughly 71% less.

The exact real-world difference changes with caching, reasoning tokens, context length, and tool calls. But for high-volume inference, Grok's pricing advantage is substantial.

Artificial Analysis also measures Grok 4.6 at only $0.84 per Intelligence Index task, while noting that it delivers effectively the same overall Intelligence Index score as GPT-5.6 Sol Max at considerably lower cost.

Which Model Is Faster?

Speed needs to be separated from reasoning effort.

Artificial Analysis measures GPT-5.6 Sol Max at approximately 61.5 output tokens per second.

In its direct High-vs-xhigh comparison, Grok 4.6 generated approximately 65.5 tokens per second, compared with 60 tokens per second for GPT-5.6 Sol xhigh.

That gives Grok a modest raw output-speed advantage in that configuration.

But raw tokens per second are only part of perceived speed.

A reasoning model may spend significant time thinking before producing its final answer. Higher reasoning settings can therefore increase total task time even when token generation itself is fast.

For interactive applications, compare end-to-end latency, not merely tokens per second.

Grok 4.6 vs GPT-5.6 Sol for Frontend and App Development

Both models are strong options for building applications from natural language.

Grok 4.6 was explicitly trained to improve interactive and visual work. Cursor says the model is better at establishing an application's structure and visual language in the first pass and then iterating across long-running development tasks.

GPT-5.6 Sol also puts significant emphasis on frontend quality.

OpenAI reports stronger computer use and design judgment, allowing GPT-5.6 to inspect rendered interfaces, identify visual or functional problems, and refine them rather than stopping after generating code.

The independent coding results again suggest a split:

Grok 4.6 is highly competitive for editor-based implementation.

GPT-5.6 Sol has stronger evidence on difficult end-to-end engineering workflows.

Grok 4.6 vs GPT-5.6 Sol for Tools and Web Research

Both models support tool-based workflows.

Grok 4.6's API provides built-in support for:

• function calling
• web search
• X search
• code execution

The X search integration is a distinctive Grok advantage for workflows that depend specifically on real-time conversations and information from X.

GPT-5.6 Sol can use OpenAI's Responses API tool ecosystem and Programmatic Tool Calling, allowing it to coordinate tools and process intermediate results without sending every intermediate step back through the model in the traditional way.

For straightforward web and social research, Grok has an attractive native setup.

For sophisticated multi-tool agents, GPT-5.6 Sol's programmable orchestration is more flexible.

Grok 4.6 vs GPT-5.6 Sol: Which Should You Choose?

Choose Grok 4.6 if you need:

• lower API costs
• strong coding performance
• high-volume AI agents
• research and knowledge-work agents
• efficient long-running workflows
• web and X search
• strong performance per dollar
• large-scale automation
• repeated model calls where cost compounds

Choose GPT-5.6 Sol if you need:

• difficult autonomous software engineering
• terminal-heavy coding
• a 1M+ context window
• up to 128K output
• deeper configurable reasoning
• complex multi-agent orchestration
• very large codebase analysis
• long-context document workflows
• maximum capability where inference cost is secondary

Grok 4.6 vs GPT-5.6 Sol by Use Case

Final Verdict: Grok 4.6 or GPT-5.6 Sol?

There is no meaningful universal winner between Grok 4.6 and GPT-5.6 Sol. The better model depends on the workload.

Artificial Analysis currently gives Grok 4.6 High and GPT-5.6 Sol Max the same overall Intelligence Index score of 61.

But their strengths are different.

Grok leads GPT-5.6 Sol Max on GDPval-AA v2, CursorBench, FrontierCode, APEX-Agents, and AA-Briefcase in the Grok 4.6 launch comparison. GPT-5.6 Sol leads significantly on DeepSWE and Terminal-Bench v3, making it the safer option for particularly demanding autonomous software engineering.

Then there is price.

Grok costs $2/$6 per million input/output tokens, compared with $5/$30 for GPT-5.6 Sol at standard API rates.

That creates two clear recommendations:

Best price-to-performance: Grok 4.6

Best for difficult software engineering and very large context: GPT-5.6 Sol

If you are building an AI product that will make thousands or millions of model calls, Grok 4.6 is difficult to ignore.

If the task is unusually difficult, involves a massive context, or requires a coding agent to autonomously work through complex terminal and repository problems, GPT-5.6 Sol remains the stronger choice.