ModelFoldgrok-4-7
Grok 4.7 is SpaceXAI’s advanced AI model for coding, reasoning, long-horizon tasks, and professional knowledge work. It features stronger self-verification, improved long-context management, and a 500K context window, making it suitable for AI agents, developer tools, research, and complex workflows.
Pricing: Input 200 credits / 1M tokens (≈ $1.00), Output 600 credits / 1M tokens (≈ $3.00).
How can I help you today?
Explore more Chat models
More AI models from Grok
Latest and popular AI models
Grok 4.7 API – Build with xAI Grok 4.7 on ModelFold
Access the Grok 4.7 API on ModelFold for advanced coding, reasoning, agentic workflows, and professional knowledge work. Try Grok 4.7 free with new user credits and integrate it into your applications with flexible API pricing.
Explore Grok 4.7 API Capabilities on ModelFold
Handle Long-Horizon Tasks with Grok 4.7 API
Use the Grok 4.7 API for tasks that require multiple steps and extended reasoning. Grok 4.7 was trained with a harder mix of problems weighted toward tasks that take longer to complete. This design supports workflows such as multi-step coding, research, analysis, and agent-based task execution.
Get Stronger Self-Verification with xAI Grok 4.7
Improve complex workflows with a model that checks its own work more carefully. xAI Grok 4.7 has stronger self-verification capabilities, helping it review intermediate results and manage difficult tasks more effectively. With the Grok 4.7 API, developers can apply this capability to coding, research, analysis, and other multi-step tasks where accuracy and consistency matter.
Build Advanced Coding Workflows with Grok 4.7 API
Use the Grok 4.7 API for demanding software engineering tasks, from code generation and debugging to repository analysis and longer development workflows. Grok 4.7 shows stronger performance than Grok 4.6 across key software engineering benchmarks, making it well suited to coding assistants, developer tools, and agentic coding applications.
Process More with a 500K Grok API Context Window
Work with up to 500,000 tokens of context in a single Grok 4.7 workflow. The large context window helps the Grok 4.7 API process large codebases, long documents, detailed instructions, and extended conversation history. Developers can give the model more relevant context without breaking complex inputs into many smaller requests.
Control Grok 4.7 Reasoning with Four Effort Levels
Match reasoning depth to the needs of each application. The Grok 4.7 API supports low, medium, high, and xhigh reasoning effort, giving developers more control over how deeply the model works through a problem. Use lower effort for simpler or latency-sensitive tasks and higher effort when your Grok API workflow requires deeper analysis and multi-step reasoning.
Take On Professional Knowledge Work with Grok 4.7
Extend the Grok 4.7 API beyond coding into demanding professional tasks. Grok 4.7 shows improvements in benchmarks covering multi-hour office work, electrical engineering, legal tasks, and other knowledge-intensive workloads. Use Grok 4.7 API on ModelFold to power research, document analysis, professional content workflows, and SaaS tools that need stronger reasoning across specialized information.
Benchmarking Grok 4.7 API Performance
Strong Results Across Coding and Professional Work
According to benchmark results published by SpaceXAI, Grok 4.7 scores 46.3% on CursorBench 4.0, 71.0% on DeepSWE v1.1 at high effort, 64.0% on EEBench, and 1,657 on AA Briefcase v1.1. These benchmarks evaluate different areas, including software engineering, multi-step coding tasks, electrical engineering, and professional office work.
Grok 4.7 vs Grok 4.6: What Changed?
Compared with Grok 4.6, Grok 4.7 uses a new, larger base model and a longer reinforcement learning run focused on harder, long-running tasks. It also improves self-verification and long-context management, helping the Grok 4.7 API perform more effectively across coding, engineering, professional knowledge work, and other complex workflows. Official benchmarks show higher Grok 4.7 scores across all seven tests listed below.
| Benchmark | Grok 4.7 | Grok 4.6 |
|---|---|---|
| CursorBench 4.0 | 46.3% | 40.4% |
| DeepSWE v1.1 | 71.0%* | 65.2% |
| EEBench | 64.0% | 53.0% |
| AA Briefcase v1.1 | 1,657 | 1,546 |
| Terminal-Bench 4.0 | 38.0% | 20.3% |
| Harvey Legal Agent Benchmark | 19.6% | 15.8% |
| HealthBench Professional | 56.7% | 48.5% |
| Grok 4.7 DeepSWE v1.1 score uses high reasoning effort. Results are based on benchmarks reported by SpaceXAI. |
How to Use Grok 4.7 API on ModelFold
- 1
Step 1: Try Grok 4.7 Free in the Playground
Start by testing Grok 4.7 free in the ModelFold playground. Enter your own prompts and explore how the model handles coding, reasoning, long-context tasks, and knowledge work before making an API request. The playground gives you a quick way to experience xAI Grok 4.7 without setting up an integration first.
- 2
Step 2: Get Your Grok 4.7 API Key
Create or sign in to your ModelFold account and generate an API key. Your key gives you access to the Grok 4.7 API and lets you connect Grok 4.7 to your SaaS product, AI agent, developer tool, or backend workflow.
- 3
Step 3: Send Your First Grok 4.7 API Request
Choose Grok 4.7 and send your first request through the Grok API. Add your prompt, configure the available parameters, and test the response with your own use case before moving the integration into production.
- ✓
Step 4: Integrate Grok 4.7 API into Your App
Connect the Grok 4.7 API to your application and start building. Use it to power coding agents, SaaS assistants, research tools, document workflows, and other AI features. Scale your integration as your product grows while keeping Grok 4.7 inside your existing application workflow.
Build Powerful AI Applications with Grok 4.7 API on ModelFold
Build AI Coding Agents with Grok 4.7 API
Create coding copilots, debugging assistants, code review tools, and autonomous development agents with the Grok 4.7 API. Give your applications the ability to understand code, reason through software engineering problems, and work across longer development tasks. The Grok API is well suited to developer products that need more than simple code completion.
Create SaaS AI Assistants with xAI Grok 4.7
Bring xAI Grok 4.7 into SaaS products, productivity platforms, internal tools, and customer-facing AI features. Use the Grok 4.7 API to power assistants that can understand detailed requests, work through complex problems, and support users across multi-step workflows.
Analyze Long Documents with Grok 4.7 API
Build applications that work with large documents and context-heavy inputs. With its 500K context window, the Grok 4.7 API can support workflows involving reports, technical documents, contracts, research materials, and large collections of text. This makes it useful for document analysis, summarization, information extraction, and question answering.
Automate Professional Work with Grok API
Use the Grok 4.7 API to automate knowledge-intensive tasks across professional workflows. Build tools for document creation, analysis, reporting, research, and other tasks that require sustained reasoning. Developers can bring the Grok API into internal systems or SaaS products to reduce repetitive work while keeping complex information in context.
Power Research Apps with xAI Grok 4.7
Create research assistants and knowledge applications that can work through detailed information and connect insights across large inputs. The Grok 4.7 API can support research synthesis, question answering, document exploration, and knowledge-intensive workflows where users need more than a quick generated response.
Build Tool-Using AI Agents with Grok 4.7 API
Create AI agents that can move from reasoning to action. Call the Grok 4.7 API from your own orchestration code and connect it to external APIs, databases, and application tools to build agents that complete real workflows. Use it for SaaS automation, developer agents, research systems, and other applications that need to interact with tools beyond the model itself.
Grok 4.7 vs Fable 5.1 vs GPT-6 Astra
Grok 4.7 vs Fable 5.1: Coding and Long-Horizon Work
Both models target complex coding and long-horizon work. SpaceXAI reports Grok 4.7 at 71.0% on DeepSWE v1.1 at high effort, compared with 70.0% for Fable 5.1, while Fable leads on several other coding and professional-work benchmarks. Independent testing from Artificial Analysis also places both among the leading models for agentic workloads.
Grok 4.7 vs GPT-6 Astra: Performance, Efficiency, and Cost
Independent testing shows a different tradeoff between the two models. Artificial Analysis scores GPT-6 Astra Max at 53 and Grok 4.7 xHigh at 46 on its Intelligence Index, while Grok 4.7 shows higher results on some long-horizon professional-work evaluations and has lower per-token pricing. ModelFold supports Grok 4.7, Fable 5.1, GPT-6 Astra, and other leading models through one API platform, making it easier to test and choose models for different workloads.
Why Choose ModelFold for Grok 4.7 API
One OpenAI-Compatible Endpoint for Grok 4.7
grok-4-7 runs on POST https://ai.modelfold.online/v1/chat/completions, an OpenAI-compatible endpoint that takes a messages array and returns the full response in one JSON body with token usage and the credits charged. Pricing for input and output tokens is shown in the pricing card above.
Reasoning Effort in the Playground
Grok 4.7's reasoning effort (low, medium, high or xhigh) can be set in the Playground on this page, so you can compare depth and speed before integrating. New ModelFold users receive 80 free credits for testing.
Reasoning Is Billed as Output, Errors Use Standard HTTP Codes
Reasoning tokens are billed as output tokens. ModelFold returns standard HTTP status codes — for example 401 for an invalid API key and 402 for insufficient credits — and failed upstream calls are refunded automatically.
Frequently Asked Questions
What Is Grok 4.7?⌄
Grok 4.7 is a frontier AI model from SpaceXAI designed for advanced coding, long-horizon tasks, reasoning, and professional knowledge work. Compared with Grok 4.6, it uses a larger base model, improves self-verification and long-context handling, and supports a 500K context window. Developers can access the model through the Grok 4.7 API to build AI agents, coding tools, SaaS features, and other AI applications.
How Can I Access Grok 4.7 API on ModelFold?⌄
You can access the Grok 4.7 API through ModelFold by creating an account, getting an API key, and following the integration documentation. You can also test the model in the ModelFold playground before connecting it to your application.
Can I Try Grok 4.7 Free on ModelFold?⌄
Yes. New ModelFold users receive free credits that can be used to try Grok 4.7 and explore its capabilities before purchasing additional API usage.
What Is the Grok 4.7 API Context Window?⌄
The Grok 4.7 API supports a 500K-token context window. This allows developers to work with large codebases, long documents, extended conversations, and other context-heavy workflows.
What Is the Difference Between Grok 4.7 and Grok 4.6?⌄
Grok 4.7 uses a new, larger base model and a longer reinforcement learning run focused on harder tasks. It also improves self-verification and long-context management compared with Grok 4.6.
How Much Does Grok 4.7 API Cost on ModelFold?⌄
ModelFold offers affordable Grok 4.7 API pricing with a flexible, usage-based model, so you only pay based on your actual API usage. Pricing may change over time based on model and service updates, so check the latest ModelFold pricing for current rates before use.
Can I Access Other Grok APIs on ModelFold?⌄
Yes. ModelFold supports the Grok 4.7 API alongside other Grok models and Grok image generation APIs. ModelFold continues to integrate the latest Grok APIs, making it easier to access multiple Grok capabilities from one platform.
| Input | 200 credits 1M tokens≈ $1.00 |
| Output | 600 credits 1M tokens≈ $3.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →curl https://ai.modelfold.online/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"grok-4-7","messages":[{"role":"user","content":"Hello"}]}'