• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

xAI releases agentic coding model with 256k context function calling and 160 tokens/second (GPT-5: 50 TPS, Gemini 2.5: 92 TPS) at $0.20 input and $1.50 output per million tokens

September 3, 2025 //  by Finnovate

Elon Musk’s xAI, released grok-code-fast-1, a dedicated agentic coding artificial intelligence model that is extremely speedy and designed to strike a “compelling balance between performance and cost.” In a market that is quickly becoming cluttered with models offering coding capabilities, xAI said it built the model from the ground up and built it with a brand-new architecture fit for task. Grok-code-fast-1 has mastered the use of common tools like grep, terminal, and file editing, and thus should feel right at home in your favorite IDE. The model supports function calling, structured outputs and reasoning with a 256,000 token context window. This window size enables the model to recall the equivalent of hundreds of pages of text or code simultaneously, allowing it to efficiently review large portions of codebases while working. As for speed, according to xAI’s own benchmarks, the new model can execute at around 160 tokens per second. Compared to other popular models on the market in the same xAI released benchmarks, OpenAI’s GPT-5 averages around 50.1 tp/s, Gemini 2.5 Pro hit around 92.4 tp/s and Claude 4 Sonnet reached 78.7 tp/s. The company said on a full subset of SWE-Bench-Verified, a human-validated evaluation of the AI model’s ability to solve real-world software engineering problems, the model received a 70.8% using an internal system. In comparison, GPT-5 received a 74.9% (with thinking) and Claude Sonnet 4 achieved 72.7%. Given that xAI will be competing against multiple other models on the market that provide coding capabilities, the company said it intends to deliver consistent updates and improvements on the order of days rather than weeks.

Read Article

Category: AI & Machine Economy, Innovation Topics

Previous Post: « AI meets Web 3 as Sui blockchain and Alibaba Cloud unveil an AI coding assistant in ChainIDE that generates smart contracts with multilingual prompts, autocompletion, docs and real‑time vulnerability checks
Next Post:  Data center workloads are reshuffling with AI rising toward 28% by 2027 (current load is 13%) while cloud slips to about 50% and legacy to 21% in Goldman Sachs modeling »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.