Weekly recap: GPT-5.6 public launch, Grok 4.5, Gemini 3.5 Pro delayed, Microsoft Copilot conversion data, DeepSeek API retirement on July 24

July 12, 2026

1:17

Weekly recap: GPT-5.6 public launch, Grok 4.5, Gemini 3.5 Pro delayed, Microsoft Copilot conversion data, DeepSeek API retirement on July 24

So, what if the biggest story this week isn’t just the launch of GPT-5.6 but how falling inference costs are reshaping AI economics? OpenAI rolled out GPT-5.6 publicly on July 9, featuring models like Sol for reasoning, Terra for performance at lower costs, and Luna for speed. They also introduced GPT-Live-1, a voice model that can listen and speak simultaneously — pretty wild. Meanwhile, xAI's Grok 4.5 claims Opus-level performance in coding and finance, though we’re waiting on independent tests, as /u/ksraj1001 notes. Google pushed Gemini 3.5 Pro to July 17, and four DeepMind researchers left in a week, coinciding with Alphabet’s $225B market cap drop — a sign of the turbulent times. On the enterprise side, Microsoft’s merging Copilot apps — yet only 4.5% of 450 million seats have paid up, showing that broad adoption isn’t happening automatically. And Meta’s Muse Image is pushing AI into more creative, self-refining tools. As /u/ksraj1001 points out, these price drops across vendors mean automation becomes more affordable — so ask yourself, what’s the real opportunity now?

Big week, so a consolidated rundown for anyone catching up.

OpenAI released the GPT-5.6 family publicly on July 9 after a limited partner preview — Sol (frontier reasoning), Terra (previous-flagship performance at ~2x lower cost), Luna (fast/cheap). They also shipped GPT-Live-1, a full-duplex voice model that handles simultaneous listening/speaking, plus gpt-realtime-2.1 with ~25% lower p95 latency.

xAI launched Grok 4.5 (trained alongside Cursor) at $2/M input and $6/M output, claiming Opus-class performance on coding/legal/finance tasks. Independent evals aren't in yet, so treat the claims accordingly.

Google delayed Gemini 3.5 Pro to July 17 — full architectural rebuild, 2M context. Separately, four senior DeepMind researchers departed in one week (Shazeer to OpenAI; Jumper, Adler, Pritzel to Anthropic), and Alphabet dropped ~$225B in market cap.

Microsoft is merging its Copilot apps into one by August. The notable disclosure: fewer than 4.5% of 450M M365 seats have converted to paid Copilot.

Meta launched Muse Image, its first Superintelligence Labs model — agentic image gen that invokes search/code tools and self-refines. Trains on public Instagram photos by default (opt-out).

Open source: Ollama raised $65M Series B (8.9M monthly devs). Gemma 4 got ~90% faster on Apple Silicon in Ollama via multi-token prediction. And a PSA — DeepSeek retires deepseek-chat and deepseek-reasoner on July 24. One-line migration, but note deepseek-reasoner maps to v4-flash thinking mode, not v4-pro, so heavy reasoning workloads should evaluate v4-pro explicitly rather than trusting the alias.

My take as someone building on top of these APIs: the simultaneous price drops (Terra, Grok 4.5, Sonnet 5's intro pricing) matter more than any single benchmark. Near-frontier inference costs fell across four vendors in one week, which changes what's economically viable to automate. Meanwhile Microsoft's 4.5% suggests horizontal assistants aren't converting even with unlimited distribution — the demand seems to be for task-specific automation, which matches what I see with SMB clients. And the DeepSeek cutoff is a good reminder to abstract your model layer.

Sources: OpenAI/xAI/Meta blogs, Euronews, Bloomberg, TechCrunch, CNBC, TechTimes coverage this week.

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Audio Transcript

Big week, so a consolidated rundown for anyone catching up.

Microsoft is merging its Copilot apps into one by August. The notable disclosure: fewer than 4.5% of 450M M365 seats have converted to paid Copilot.

Meta launched Muse Image, its first Superintelligence Labs model — agentic image gen that invokes search/code tools and self-refines. Trains on public Instagram photos by default (opt-out).

Sources: OpenAI/xAI/Meta blogs, Euronews, Bloomberg, TechCrunch, CNBC, TechTimes coverage this week.

submitted by /u/ksraj1001
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