GoKawiilGrok 4.7 is our most capable model for coding and knowledge work. It works longer on difficult tasks, checks its own work more carefully, and comes with our best-calibrated safeguards to date. Served at the same price and speed as Grok 4.6, it is highly competitive in its class.
A scatter and line chart comparing Fable 5.1, Opus 5, Grok 4.7, GPT-5.6 Sol, and Sonnet 5 scores against average cost per task. 55 % CursorBench 4.0 score 50% 45% 40% 35% 30% 25% 20% $18 $15 $12 $9 $6 $3 $0 Average cost per task Fable 5.1 Opus 5 GPT-5.6 Sol Sonnet 5 Grok 4.7 Cost Tokens Steps
On CursorBench 4.0, which stresses longer-running coding tasks, Grok 4.7 is at the frontier in price-performance.
Grok 4.7 uses a new, larger base model compared to Grok 4.6. It was trained with a longer reinforcement learning run on a harder mix of tasks, weighted toward problems that take many hours to complete. The model is better at verifying its own work and managing longer context. We also trained Grok 4.7 to natively understand the Grok Bot harness, making it better at conversational tasks and general knowledge work.
Grok 4.7 xHigh Grok 4.6 High GPT-5.6 Sol Max Fable 5.1 Max Input token price $ per million $2 $2 $4 $10 Output token price $ per million $6 $6 $20 $50 Software engineering CursorBench 4.0 46.3% 40.4% 41.7% 51.8% Software engineering DeepSWE v1.1 71.0%* 65.2% 72.7% 70.0% Electrical engineering EEBench 64.0% 53.0% 39.4% 56.4% Multi-hour office work AA Briefcase v1.1 1,657 1,546 1,487 1,678 Multi-hour terminal work Terminal-Bench 4.0 38.0% 20.3% 37.3% 57.9% Legal work Harvey Legal Agent Benchmark 19.6% 15.8% 2.5% 6.7% Clinical reasoning HealthBench Professional 56.7% 48.5% 60.5% 62.1% * high effort Token prices and benchmark scores for Grok 4.7, Grok 4.6, GPT-5.6 Sol, and Fable 5.1. Benchmarks are CursorBench 4.0, DeepSWE v1.1, EEBench, AA Briefcase v1.1, Terminal-Bench 4.0, Harvey Legal Agent Benchmark, and HealthBench Professional. An asterisk on Grok 4.7 DeepSWE marks a high-effort score.
Grok 4.7 is better at creating documents and presentations. In GDPval and AA Briefcase, AI is asked to work on tasks done by professionals such as lawyers, nurses, and financial analysts. Grok 4.7 improves upon Grok 4.6 on both benchmarks and performs comparably to other frontier models.
Professional knowledge work Multi-hour office work Electrical engineering Professional knowledge work GDPval 0 500 1000 1500 Elo score 1735 Fable 5.1 (max) 1695 Grok 4.7 (xhigh) 1605 Grok 4.6 (high) 1542 GPT-6 Astra (max) GDPval, AA Briefcase, and EEBench scores comparing Grok 4.7 with Grok 4.6, Fable 5.1, and GPT-6 Astra.
Grok 4.7 was built with an entirely new safeguard stack. It is the strongest model we’ve tested on refusals and jailbreak resistance. In dual-use domains like cybersecurity and biological work, it leads on both utility for benign tasks and safe refusal on dangerous ones, topping LatchBio’s biosafety benchmark at 62.4%.
Grok 4.7 balances strong cyber defense capabilities with low refusal rates for legitimate use. It shows the highest safety on HackerBench v0.3, our benchmark for risky and malicious cyber tasks, allowing only 3.3% of risky dual-use prompts through while rarely blocking legitimate security work. We’ve also started giving select cybersecurity partners invite-only access to Grok 4.7’s red-team capabilities for defense research.
Grok 4.7 is available today in Cursor and Grok Build. It is also available through the Grok API, third-party coding harnesses, and model routers and cloud platforms.
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