Google DeepMind released the Gemini 3 model family on April 26, 2026, claiming state-of-the-art performance on 12 of 18 published benchmarks. The release spans four tiers: Gemini 3.1 Pro for complex reasoning, Gemini 3 Pro for general tasks, Gemini 3 Flash for speed-sensitive workloads, and Gemini 3.1 Flash-Lite for high-volume inference at reduced cost.

The Benchmark Picture

Gemini 3.1 Pro, the flagship, scored 77.1% on ARC-AGI-2 (abstract reasoning), 94.3% on GPQA Diamond (scientific knowledge), and 80.6% on SWE-Bench Verified (agentic coding, single attempt), according to Google DeepMind’s published results. On Terminal-Bench 2.0, which measures agentic terminal coding, 3.1 Pro hit 68.5% using the Terminus-2 harness, ahead of Claude Opus 4.6’s 65.4% and GPT-5.2’s 54.0%.

The model also posted a 2887 Elo on LiveCodeBench Pro (competitive coding), 85.9% on BrowseComp (agentic search), and 69.2% on MCP Atlas (multi-step tool-use workflows). On Humanity’s Last Exam, 3.1 Pro scored 44.4% without tools and 51.4% with search and code, per Google’s benchmark table.

One area where Gemini 3 does not lead: SWE-Bench Pro (public), where DevFlokers reports GPT-5.3-Codex claims 56.8% against Gemini 3.1 Pro’s 54.2%.

Four Tiers, Not One Model

The Gemini 3 family reflects a market shift toward tier-specific deployment rather than single-model solutions. Gemini 3.1 Deep Think provides roughly 2x the reasoning depth of 3.1 Pro for problems requiring extended computation, available to Google AI Ultra subscribers. Gemini 3 Flash targets low-latency production workloads. Gemini 3.1 Flash-Lite delivers 45% faster output generation than its predecessor, according to DevFlokers, aimed at cost-sensitive, high-volume inference.

Google’s pitch positions Gemini 3 as the convergence point for three previously separate capabilities: native multimodality (text, image, video, audio, code), reasoning depth, and agentic tool use. “Gemini 1 introduced native multimodality and long context,” Google’s model page reads. “Gemini 2 added thinking, reasoning and tool use. Now, Gemini 3 brings these capabilities together.”

Antigravity Enters the IDE Race

Alongside Gemini 3, Google launched Antigravity, its agent-first development platform. Google describes it as an “agentic development platform, evolving the IDE into the agent-first era.” Antigravity sits alongside Google AI Studio for prompt-to-production workflows and the Gemini API for direct model access.

The launch adds another entrant to the agentic coding IDE category currently dominated by Cursor and Claude Code. Cursor CPO Sualeh Asif provided a testimonial on Google’s Gemini 3 page about using Gemini 3 Pro in Figma Make for code-backed prototypes, suggesting the competitive dynamic is more interoperability than zero-sum.

The Competitive Pressure

Gemini 3 arrives into a crowded April. Alibaba released Qwen 3.6 earlier this week. DeepSeek shipped V4-Pro and V4-Flash with 1 million token context windows. Moonshot AI’s Kimi K2.6 demonstrated native agent swarm orchestration. And OpenAI’s GPT-5.5, which launched April 23, is now live across ChatGPT Plus, Pro, Business, and Enterprise tiers.

Google’s 12-of-18 benchmark lead is notable but narrow in places. Claude Opus 4.6 matches or beats Gemini 3.1 Pro on SWE-Bench Verified (80.8% vs. 80.6%) and the τ2-bench telecom task (99.3% tied). The gaps are measured in single-digit percentages across most benchmarks, reinforcing that frontier model competition has compressed to the margins.