PRODUCTS

Claude 4.6 matches OpenAI's multi-agent upgrade

As the industry anxiously awaits the release of Claude Sonnet 5, Anthropic released Claude Opus 4.6 to match OpenAI's short-lived advantage in agents. 

On Thursday, Anthropic released the latest update to its Claude model family, saying the model offers better coding and review skills, improved task planning, and can sustain agentic tasks for longer than its predecessor. 

Alongside the launch, Anthropic unveiled a feature called “agent teams,” which gives users the ability to spin up agents that can split up tasks autonomously and work on them in parallel. Notably, this feature offers capabilities similar to OpenAI’s Codex, which debuted multi-agent capabilities earlier this week.  

Claude Code has been a viral hit over the past couple months. It's even been blamed for the stock market sell-off of software companies because investors worry that they may not have a future if any organization or individual can now use AI to vibe-code custom software that exactly meets their needs. 

However, OpenAI's Codex raised the bar. Rather than just offering an AI agent for coding, it enabled the ability to use a team of agents working together. With Opus 4.6, Claude can now do the same.

Anthropic also touted a number of other improvements that Opus 4.6 has to offer, including improved abilities on work tasks such as financial analysis, research, document creation and agentic search; the ability to work more reliably with large codebases; and autonomous multitasking capabilities when utilized in Claude Cowork. 

• The model is also the first in the Opus line to offer a 1 million token context window, 

• Opus 4.6 also achieves state-of-the-art performance on several benchmarks, including agentic coding evaluation Terminal-Bench 2.0, frontier model evaluation Humanity’s Last Exam, and finance and legal evaluation GDPval-AA. 

• One drawback that the company noted in its blog post is that, while Opus 4.6 is more thoughtful and careful in considering its outputs to offer better results for harder problems, this feature can “add cost and latency on simpler ones.” 

Alex Albert, head of Claude relations at Anthropic, said in an article on X that the launch represents “the watershed moment for AI becoming a real working partner for people who spend their days in spreadsheets, slide decks, and long docs.” 

The Deep View got access to the model before the launch, and did not see an observable jump in the quality of the outputs. Having said this, the previous model was already very capable, and this release did not hinder that experience at all. It is possible that you would only see the difference when stress testing the model under really complex coding and reasoning workflows, and our team will be continuing to test it to find the latest nuances.

Major model providers are faced with the constant pressure to release bigger, better and more powerful models for several reasons: To outdo their competition, hold on to the ephemeral title of “state-of-the-art,” and to keep their hungry customers happy. With this release, Anthropic might be feeling that pressure, especially as its users are chomping at the bit for Claude Sonnet 5 and OpenAI ramped up its enterprise bid and its multi-agent coding tool. However, while the new model offers boosts in agentic and complex deep research tasks, it's important to keep in mind that the update might not represent a significant leap in performance for users who rely on Claude for simpler, everyday use cases.

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ENTERPRISE

OpenAI just launched its answer to Claude Cowork

On the same day that Anthropic released its Opus 4.6 model to match OpenAI's multi-agent coding advantage, OpenAI has released GPT-5.3-Codex to rival Anthropic's Claude Cowork. 

In its blog post announcing the new model, OpenAI declared, "With GPT‑5.3-Codex, Codex goes from an agent that can write and review code to an agent that can do nearly anything developers and professionals can do on a computer."

While GPT-5.3-Codex is still aimed primarily at engineers and developers, it can now help them with other parts of their job beyond just writing code. Specifically, OpenAI cites, "debugging, deploying, monitoring, writing [product requirements documents], editing copy, user research, tests, [and] metrics." It's also built to help create slide decks and spreadsheets. 

And, of course, many of those tasks will be helpful for professionals adjacent to software engineers, such as product leaders, designers, and project managers. In fact, tech-forward employees in almost any role will likely find these features useful, especially if they already have experience with ChatGPT. 

And since OpenAI released its desktop Codex app for Mac on Monday, it's now much more accessible to non-coders, since you no longer have to operate it from the command line. Keep in mind that the Codex app is separate from the ChatGPT app, unlike Claude, which integrates its coding and chatbot into a single app. OpenAI's Codex app is also limited to Mac for now, while the Claude app is also available on Windows. But we should expect that it's only a matter of time before OpenAI brings the Codex app to Windows. 

Other notable upgrades include:

• 25% faster inference for quicker coding and task execution

• Improved coding accuracy: it beats previous models on developer benchmarks such as SWE-Bench Pro and Terminal-Bench 2.0

• Interactive agent options: you can steer, ask, and update while the agent is working on complex, long-running tasks

• Upgrades to reasoning and professional knowledge: combines advanced coding with broader general reasoning from GPT-5.2 for more nuanced decision-making

• Stronger cybersecurity: this is the first model that OpenAI qualifies as “high” in their cybersecurity framework, as it's trained to detect software vulnerabilities and backed by stronger safety layers

Notably, OpenAI shared that "GPT‑5.3‑Codex is our first model that was instrumental in creating itself." Specifically, the model was involved in its own debugging, deployment, and diagnosis of test results. The company reported, "Our team was blown away by how much Codex was able to accelerate its own development."

The fact that OpenAI released GPT-5.3-Codex ahead of the general launch of GPT-5.3 — the company's flagship model remains GPT-5.2 for now — tells us that it really wanted to get this upgrade into the hands of developers. (We should also expect the broader release of GPT-5.3 to be only a step or two away.) This release also speaks to the intense competition for developer loyalty between OpenAI and Anthropic right now. It comes at a time when Anthropic has been firing shots at OpenAI over its plan to bring ads to ChatGPT, with Anthropic's upcoming Super Bowl ad already gone viral and Sam Altman already firing back. Developers must feel a little embarrassed, having rarely been fought over like this before.

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PRODUCT

ChatGPT's Canva app can now stay on-brand

As AI chatbots continue to tap into external tools and applications to expand their capabilities, Canva is deepening its integration within ChatGPT. 

On Thursday, Canva announced that ChatGPT users can connect their Canva Brand Kits to the chatbot. This means that, in addition to using natural language to create designs in ChatGPT, those designs can now be automatically aligned with the company’s branding and style guides. 

“By bringing Canva’s design model directly into ChatGPT, we’re changing the notion that 'AI-generated' has to mean 'off-brand,'” said Anwar Haneef, GM & Head of Ecosystem at Canva, to The Deep View. “This is a whole new way of interacting with visual brand identities, turning them into a living participant in your daily workflows, which increasingly rely on AI assistants.”

This update is especially timely, as more users are turning to Canva after using ChatGPT. Canva shared that it is seeing a 60% month-over-month increase in usage of its MCP connectors in ChatGPT, Claude, and Microsoft Copilot, with the Canva MCP Server creating over 12 million designs across those chatbots. 

Furthermore, SimilarWeb data found that Canva ranked in the top 10 sites receiving the most referrals from AI assistants in Tech, Search, and Social Media, with 5 million AI referrals and 4.9 million ChatGPT referrals, highlighting how embedded AI has become in people’s workflows. 

This new brand kit feature could benefit working professionals using ChatGPT to build company materials, from internal presentations to public posts. The Deep View’s own designer, Lucas Crespo, said he sees the potential for the update to save time in people’s workflows. 

“I think this sounds really interesting for building up a system that then the whole team can use,” said Crespo. “It is a way to open the time for designers to focus on higher impact work, while leaving the seeds and systems in Canva, and letting non-design team members pull from there, and making other departments more empowered to get designs.”

AI chatbots can continually improve with the implementation of newer models and more advanced technologies. However, this doesn’t necessarily translate directly into greater embeddedness in people’s everyday lives, as they already have established workflows with the tools they use. As a result, it's in the AI chatbots' interest to integrate the most popular tools people already use and to offer a new layer that makes them easier to use. On the other hand, as shown by the data above on the number of referrals Canva receives, it is also a good way for applications to attract new users. The result: Chatbots that are slowly but surely becoming a hub and an intelligence layer for the most popular apps.

LINKS

• OpenAI debuts Frontier, an agent orchestration platform for enterprise

• Amazon expects capex to hit $200 billion as AI, satellite spend continues

• AI data firm Fundamental emerges from stealth with $255 million Series A

• Interpretability startup Goodfire raises $150 million at $1.25 billion valuation

• Lionsgate hired its first Chief AI Officer, Kathleen Grace

• Meta is testing a standalone app for its Vibe’s AI video platform

• Kling 3.0: A new model from the Chinese AI start, consolidating text-to-video, image-to-video, and native audio generation into one multimodal model with longer outputs and upgraded character and scene consistency.

• Qwen3-Coder-Next: A small open-source coding model from Alibaba for agentic tasks that rivals larger models like DeepSeek V3.2 and KGLM-4.7 on benchmarks.

• Sparkle: An AI-powered organizer for Mac that automatically cleans up duplicates and helps your desktop stay clutter-free.  

• Cora: This app screens your email to pick out the most important messages, draft responses in your voice and give you daily briefs. 

• Deep Research in Perplexity: The AI-powered browser now features more accuracy and reliability on deep research, achieving state-of-the-art performance on leading benchmarks.

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