xAI model product
7 is an LLM from xAI for long-running agents, coding, knowledge work, and visual projects.
Updated Sep 25, 2026. Default version: Grok 4.7
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Grok 4.7.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkHarvey LAB (Vals) | Score19.60% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkHarvey's Legal Agent Benchmark | Score19.60% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkSWE-Marathon | Score46.00% | Rank01 | Participants6 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkVirology Capabilities Test | Score63.00% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkBixBench MCQ | Score88.40% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCADGenBench | Score44.40% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCathedralBench | Score29.00% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCVE-Bench | Score36.60% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkEEBench | Score66.00% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkGDPval (Elo) | Score1,695.00 points | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLAB-Bench Practical | Score76.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLatchBio Capabilities v1.0 | Score44.50% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkProtocolQA Open-Ended | Score70.40% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkWMDP-Bio | Score88.10% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkWMDP-Chem | Score84.90% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkWMDP-Cyber | Score88.10% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkAA-Briefcase v1.1 | Score1,657.00 points | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkCursorBench 4.0 | Score46.30% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkFrontierSWE V2 | Score29.00% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkLiveBench math (2026-06-25) | Score95.68 score | Rank05 | Participants41 | Percentile90.00% | EvidenceB | EvaluatedN/A |
| BenchmarkDeepSWE 1.1 | Score71.00% | Rank08 | Participants38 | Percentile81.08% | EvidenceC | Evaluated |
| BenchmarkHealthBench Professional | Score56.70% | Rank08 | Participants12 | Percentile36.36% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 4.0 | Score38.00% | Rank08 | Participants19 | Percentile61.11% | EvidenceC | Evaluated |
| BenchmarkLM Arena Webdev | Score1,632.30 rating | Rank08 | Participants99 | Percentile92.86% | EvidenceA | Evaluated |
| BenchmarkLiveBench instruction (2026-06-25) | Score75.28 score | Rank09 | Participants41 | Percentile80.00% | EvidenceB | EvaluatedN/A |
| BenchmarkCyberGym | Score80.30% | Rank11 | Participants20 | Percentile47.37% | EvidenceC | Evaluated |
| BenchmarkLiveBench reasoning (2026-06-25) | Score82.65 score | Rank26 | Participants41 | Percentile37.50% | EvidenceB | EvaluatedN/A |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categoryoverall | Rank08 | Rating / score1,632.30 | Votes1,650 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank08 | Rating / score1,632.30 | Votes1,650 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank08 | Rating / score1,625.93 | Votes258 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank09 | Rating / score1,646.43 | Votes1,066 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderVercel AI Gateway | Provider model IDspacexai/grok-4.7 | Regionglobal | Input / 1M$1.2 | Output / 1M$3.6 | Context500K | Updated |
| ProviderOpenCode Zen | Provider model IDgrok-4.7 | Regionglobal | Input / 1M$1.4 | Output / 1M$4.2 | Context500K | Updated |
| ProviderKilo Gateway | Provider model IDx-ai/grok-4.7 | Regionglobal | Input / 1M$1.6 | Output / 1M$4.8 | Context500K | Updated |
| ProviderOpenRouter | Provider model IDx-ai/grok-4.7 | Regionglobal | Input / 1M$1.6 | Output / 1M$4.8 | Context500K | Updated |
| ProviderNanoGPT | Provider model IDx-ai/grok-4.7 | Regionglobal | Input / 1M$1.6 | Output / 1M$4.8 | Context500K | Updated |
| ProviderxAI | Provider model IDgrok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderOpenCode Go | Provider model IDgrok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderCrossModel | Provider model IDx-ai/grok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDgrok-4-7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderGitHub Copilot | Provider model IDgrok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderMerge Gateway | Provider model IDxai/grok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderEden AI | Provider model IDxai/grok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderCloudflare AI Gateway | Provider model IDxai/grok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderOfox | Provider model IDx-ai/grok-4.7 | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context500K | Updated |
| ProviderAIHubMix | Provider model IDgrok-4.7 | Regionglobal | Input / 1M$2.2 | Output / 1M$6.6 | Context500K | Updated |
| ProviderVenice AI | Provider model IDgrok-4-7 | Regionglobal | Input / 1M$2.27 | Output / 1M$6.8 | Context500K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Grok 4.7. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderxAI | Output Speed5.32 tok/s | Catalog Latency37.85 s | Max Input500K | Max OutputN/A | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGrok 4.7 | Released | LLMBoard78.49 | ParametersN/A | Context500K | Max outputN/A | Open weightsNo | LicenseProprietary |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Grok 4.7 and its available data.
7 is a large language model from xAI. It is intended for long-running agents, coding, knowledge work, and visual projects.
Data as of 2026-09-24.
Common questions about Grok 4.7.
Grok 4.7's default version was released on Sep 21, 2026.
Grok 4.7's official API price is $2 per million input tokens and $6 per million output tokens via xAI. The lowest tracked third-party offer starts at $1.2 input and $3.6 output via Vercel AI Gateway.
Grok 4.7 was created by xAI.
The default version has a 500K token context window.
No. The default version is not marked as having publicly available weights.
16 provider offerings are linked to the default version.