SpaceXAI's New Grok 4.7 Improves on Coding, Maintains Cheaper Token Rates than Peers
The model improved on long-running coding benchmarks and starts at $2 per million input tokens, SpaceXAI said.
- On Sunday, SpaceXAI released Grok 4.7, pricing the updated model at $2 per million input tokens and $6 per million output tokens with a 500,000-token context window.
- SpaceXAI paired its base model with extended reinforcement learning runs deliberately weighted toward harder tasks, including problems that take "many hours" to complete, improving self-verification and long-context management.
- Endurance benchmarks show Grok 4.7 scored 38.0% on Terminal-Bench 4.0, up from 20.3% for Grok 4.6, while improving from 40.4% to 46.3% on CursorBench 4.0 and reaching 1,657 on Briefcase.
- Despite these gains, Grok 4.7 still trails Anthropic's Claude Fable 5.1, which scores 57.9% on Terminal-Bench 4.0, as even top-performing models failed more than 60% of the time on private codebases.
- SpaceXAI trained the model to natively understand the Grok Bot harness, mirroring OpenAI's recent decision to open its Codex harness as the Agents API for managed long-running agent infrastructure.
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SpaceXAI presented a coding model with improved self-checking and a long context.
Ilona Maska xAI introduced the updated Grok 4.7 neural network, which is characterized by improved programming skills and enhanced security in complex intellectual tasks. "Grok 4.7 is our most functional model for programming and intellectual work. It works longer on complex tasks, more carefully test its performance and is equipped with our best security mechanisms to date," says the company's official release, delivers RIA News.
Grok 4.7 is here. We'll show you what SpaceXAI's new AI model offers and what changes in programming, knowledge work and security.
SpaceXAI unveils Grok 4.7, its new AI model optimized for complex and long-term tasks, including coding. Pricing is not moving compared to Grok 4.6.
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