"For developers, Gemini 3 is expanding the promise of AI beyond simple code completion to the concept of autonomous agentic workflows. As development teams face increasing pressure to deliver complex software faster, the bottleneck often transfers from writing syntax to managing logic and architecture. Google's latest dual release - the Gemini 3 model and the Antigravity development platform - attempts to address this operational ceiling by reframing the developer's role from a writer of code to an architect of agents."
"The reasoning engine: Gemini 3 Central to this adjustment is Gemini 3, a model Google claims establishes a "new foundation of intelligence" for agentic coding. According to the technical report, Gemini 3 Pro achieved a 54.2 percent score on Terminal-Bench 2.0, a benchmark testing a model's ability to operate a computer via a terminal, compared to 32.6 percent for its predecessor, Gemini 2.5 Pro."
"Perhaps more relevant to developers assessing automated code generation is the model's performance on SWE-Bench Verified, where it reportedly scored 76.2 percent on a single attempt. While benchmarks should always be viewed with caution until independently verified, these figures suggest a capability to handle multi-step reasoning that previous iterations struggled to maintain. The model introduces an interesting economic proposition for businesses scaling AI adoption. It is currently available in preview at "$2/million input tokens and $12/million output tokens for prompts 200k tokens or less"."
Gemini 3 and the Antigravity development platform reframe developer work toward designing and supervising autonomous agents that handle long-horizon, multi-step tasks. The model targets logic, architecture, and orchestration bottlenecks rather than mere syntax completion, enabling delegation of asynchronous workflows. Gemini 3 Pro shows notable benchmark gains, scoring 54.2 percent on Terminal-Bench 2.0 and 76.2 percent on SWE-Bench Verified in a single attempt, suggesting improved multi-step reasoning. Benchmark results require independent verification and caution. Pricing in preview is stated as $2/million input tokens and $12/million output tokens for prompts up to 200k tokens, implying economic considerations for adoption.
Read at Developer Tech News
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