01
GPT-6.1 Terra arrives in GitHub Copilot with lower API pricing
OpenAI released GPT-6.1 Terra, and GitHub Copilot lists it for Copilot Pro, Pro+, Max, Business, and Enterprise users. Input tokens cost $1 per million, output tokens cost $5, and cached inputs drop to just $0.05 per million tokens.
Why it matters
Buyers comparing coding models can weigh the lower API price against the reported Terminal-Bench 4.0 result of 50.3 percent at maximum reasoning effort, up from 21.5 percent for GPT-5.6 Terra. Teams using GitHub Copilot can select the model in the model picker where available.What to check
Confirm in your GitHub Copilot model picker whether GPT-6.1 Terra is available, and check the GitHub Copilot models and pricing page for provider list pricing.02
Anthropic S-1 shows more enterprise customers using Claude Code and Cowork
More than half of customers spending at least $100,000 annually now use both the Claude platform and a first-party app like Claude Code or Cowork, up from about 30% at the end of last year. Anthropic reported more than 11,900 customers spending at least $100,000 and about 250 customers spending $10 million or more annually as of September 30.
Why it matters
Buyers evaluating Claude should note that the highest-spending 5% of Claude Enterprise customers who used Claude Code spent about 20x as much per month as the average enterprise user who didn't use the coding tool. Anthropic also holds direct contracts and pays cloud partners a fee.What to check
Check whether your Claude deployment includes first-party apps like Claude Code or Cowork, and review your contract to see if you buy directly from Anthropic or through a cloud partner.03
Azure AI Speech LLM 09-2026 adds 25 languages and faster transcription
Azure AI Speech LLM 09-2026 expands support to 25 additional languages, including 11 Indic languages, and delivers up to 2x faster processing than 2607. Internal evaluations show up to 25% improvement in Token Error Rate and 37% in Entity Error Rate.
Why it matters
Teams building voice agents, meeting transcription, contact center analytics, or media captioning can process multilingual audio in one call. The release is up to 2x faster than 2607 for short audio (5-10 second length) at high concurrencies.What to check
Test the model in the Foundry Playground or via the REST API, and confirm language and locale support for your target languages in the public docs.04
Microsoft describes agentic code migration and trust at scale
Microsoft says it is building AI agents that transform large codebases, including Windows and Azure, and has migrated a 400-million-line codebase to a new compiler toolchain. Since 2024, it has combined AI agents with static analysis, testing, and formal verification to make large-scale software transformation practical and trustworthy.
Why it matters
Development teams evaluating agentic coding tools should consider how vendors verify changes across large codebases, not just how fast code is generated.What to check
Read Microsoft's post for details on its flexible harness and formal methods, and compare those verification approaches with your own code review requirements.05
Google highlights Gemini study features for college students
Google asked 15 Google Student Ambassadors to share their favorite Gemini features, including Study notebooks, Gemini Live, Guided Learning, and Study guides. Students described using these tools to study for exams, organize notes, practice for interviews with voice chat, and review portfolios from a hiring manager's point of view.
Why it matters
Students choosing a study assistant can compare these Gemini features with other tools for turning course materials into lessons, voice practice, and guided problem solving.What to check
Try uploading your own course materials to Gemini to see if Study notebooks and Study guides work with your notes, and test Gemini Live for interview practice.