AI race shifts to cost as SemiAnalysis says Gemini momentum has faded

SemiAnalysis's progress update crystallizes the week's meta-narrative: the frontier has narrowed to a two-horse race between OpenAI and Anthropic, and Google — despite briefly leading with Gemini 3 Pro and its 'Nano Banana' moment — has faded. The analysis says Google lacks a compelling agentic coding product even after acquiring Windsurf, and that Gemini 3.5 Flash reportedly underperforms GPT-5.6 and Opus 4.8 in real-world use.

The framing matters because it reframes 'who's winning' away from raw benchmarks toward product-market fit in agentic coding, the highest-value battleground. It also feeds the dominant cost story: CNBC reported the AI race is 'shifting from bigger models to cheaper, smarter systems,' and Sam Altman noted that everyone at the Sun Valley conference wants to know how to cut AI costs. That's a striking mood change from the scale-at-all-costs era.

Google isn't standing still — leaks suggest Gemini 3.5 Pro launches around mid-July with a rumored 2M-token context window and 'Deep Think' reasoning, and this week Google shipped consumer features like Gemini Study Notebooks and made AlphaEvolve GA on Google Cloud. But the SemiAnalysis read is that incremental releases haven't reversed the perception of lost momentum. The skeptical counterpoint is that SemiAnalysis's 'two-horse race' verdict has been wrong before, and a strong Gemini 3.5 Pro could quickly re-open the field. For now, the industry consensus this week is that Google must prove it has an agentic-coding answer, and that cost — not scale — is the axis competition now turns on.