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Anthropic releases Claude 3.7 Sonnet with advanced reasoning

AI's that can reason are the new battleground in AI development and when perfected it will move all models closer to AGI.

Key takeaways

  • The model costs the same to run as its predecessor, 3.5 Sonnet, at $3 per million input tokens and $15 per million output tokens.
  • While Claude still lacks real-time web search like other models, version 3.7’s knowledge cut-off date of October 2024 is more up to date.
  • Claude 3.5 Sonnet couldn’t get out of Pallet Town at the beginning of the game while version 3.7 was able to defeat multiple gym leaders.
Cite or link to this article

Griffin, M. (2025) 'Anthropic releases Claude 3.7 Sonnet with advanced reasoning', 311 Institute, 25 March. Available at: https://www.311institute.com/anthropic-releases-claude-3-7-sonnet-with-advanced-reasoning/ (Accessed: 1 October 2026).

Anthropic is releasing Claude 3.7 Sonnet, its first “hybrid reasoning model” that can solve more complex problems and outperforms previous models in areas like math and coding.

In addition to a new model, Anthropic is also releasing a “limited research preview” of its “agentic” coding tool called Claude Code. While Anthropic already powers AI coding tools like Cursor, it’s pitching Claude Code as “an active collaborator that can search and read code, edit files, write and run tests, commit and push code to GitHub, and use command line tools.”

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Claude 3.7 Sonnet is available starting Monday in the Claude app and for developers through Anthropic’s API, Amazon Bedrock, and Google Cloud’s Vertex AI. The model costs the same to run as its predecessor, 3.5 Sonnet, at $3 per million input tokens and $15 per million output tokens.

While OpenAI and others offer separate so-called reasoning models, Anthropic product research lead Dianne Penn says that the company wanted to simplify the experience of using a model.

“We fundamentally believe that reasoning is a feature of the AI rather than a completely separate thing,” she says, noting that Claude shouldn’t take long to answer the question “What time is it?” versus responding to a more complex prompt like, “plan a two-week trip to Italy while considering the weather in late March.”

Penn says that Claude 3.7 Sonnet performs noticeably better on “agentic coding,” finance, and legal tasks. While Claude still lacks real-time web search like other models, version 3.7’s knowledge cut-off date of October 2024 is more up to date. Anthropic is also allowing developers to help steer how the model “thinks” via its scratch pad and even dictate exactly how long it takes to respond.

“Sometimes the developer just needs to say it shouldn’t take more than 200 milliseconds to answer this question,” says Anthropic’s VP of product, Michael Gerstenhaber. “And that’s a product decision.”

Inside Anthropic, employees have used the new model to build front-end website designs, interactive games, and even spend up to 45 minutes on coding work by “building test sets and editing test cases back and forth iteratively,” according to Penn.

She says that the company also tests its models on their ability to advance through an old-school Pokémon video game by mapping the model’s API to a controller scheme. Claude 3.5 Sonnet couldn’t get out of Pallet Town at the beginning of the game while version 3.7 was able to defeat multiple gym leaders.

As Elon Musk showed with Grok-3 last week, the AI model race is moving incredibly fast. For now, Anthropic appears to be in the lead again thanks to Claude 3.7 Sonnet’s performance gains. Its release also suggests that, rather than offer standalone reasoning models, the industry is moving toward a future where one model can do everything.

311 Intelligence

What this means for your organisation

Reasoning becomes a dial.

One system can answer simple questions fast and think longer on hard ones. Developers can set how long it takes. That lets firms balance cost, speed and quality.

Coding agents join the team.

Agentic tools can now search code, edit files, run tests and push changes. Engineers move from writing every line to reviewing work. Plan new review and approval steps.

Gains spread beyond code.

Better performance on finance and legal tasks widens where reasoning tools help. Professional teams should test them on real work. Measure results before scaling.

Three questions for your next leadership meeting

  1. Where would agentic coding tools speed up our software delivery?
  2. What review controls do we need for code written by agents?
  3. Which finance or legal tasks could reasoning tools support?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

AI's that can reason are the new battleground in AI development and when perfected it will move all models closer to AGI.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Source: first published by the 311 Institute on 25 March 2025. Cite as: Griffin, M. (2025). Anthropic releases Claude 3.7 Sonnet with advanced reasoning. 311 Institute. https://www.311institute.com/anthropic-releases-claude-3-7-sonnet-with-advanced-reasoning/

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