• We’re so glad you’re here. • You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game. • Check your inbox for a confirmation email where you can adjust your preferences and even join additional groups. • Follow TNS on your favorite social media networks. • Become aTNS follower on LinkedIn. • Check outthe latest featured and trending storieswhile you wait for your first TNS newsletter.
Article Summaries:
- Google released Gemini 3.1 Pro, a preview model that builds on the Deep Think architecture to deliver stronger reasoning performance than its predecessor. On the ARC‑AGI‑2 benchmark it scores 77.1 % versus 31.1 % for the previous Gemini Pro, surpassing Anthropic’s Opus 4.6 (68.8 %) and OpenAI’s GPT‑5.2 (52.9 %). The model also tops most coding benchmarks, though it lags on GDPval‑AA. It offers a 1‑million‑token context window but limits output to 64,000 tokens. Pricing remains $2/$12 per million tokens, cheaper than competitors. Gemini 3.1 Pro is available via the Gemini API, Vertex AI, and consumer apps, though it remains in preview.
- Google has released Gemini 3.1 Pro, its latest previewed Pro model, which shows significant gains in reasoning tasks over the previous Gemini 3 Pro. On the ARC‑AGI‑2 benchmark it scores 77.1 % versus 31.1 % for the earlier version, surpassing Anthropic’s Opus 4.6 and OpenAI’s GPT‑5.2. The model also leads most coding benchmarks, though it lags on the GDPval‑AA real‑world task. Gemini 3.1 Pro retains a 1‑million‑token context window but limits output to 64,000 tokens. Pricing remains $2/$12 per million tokens, and the model is available via the Gemini API, Vertex AI, and consumer apps.
Sources: