Google DeepMind preview Gemini 3.1 Pro (Feb 19, 19, 2026) 3.1 outperforms 2.5 Pro advanced reasoning LMSYS Arena Elo 1501 (vs. 1420), GPQA 62% (59%), MATH 92% uplift, 3.1 doubles context size to massive docs/codebases 2M tokens, temporal understanding video, agentic tools structured json. 2.5 Stable multimodality (audio/image/video), SWE-Bench coding 63 Devs get access to Vertex AI waitlist.
Performance Benchmarks
Arena Elo: 3.1 1501 crushes 2.5 1420; blind user votes favor complex chains.
GPQA/MATH: 3.1 62%/92% vs 59%/85%; scientific multi-step superior.
LiveCodeBench coding 3.1 leads previews; MMLU-Pro neck-neck.
Human evals nuance wins 3.1 subtle logic.
Context & Capabilities
Tokens: 3.1 2M long-context RAG dreams; 2.5 1M practical most apps.
Multimodal: 3.1 video reasoning leap; 2.5 balanced audio TTS native.
Function calling/tools 3.1 agent-ready JSON reliability.
Access & Pricing
3.1 Preview: Vertex AI/Gemini API waitlist; unstable experimental edge.
2.5 Pro: Full prod Gemini Advanced $20/mo, API scaled.
3.1 inference 20-30% cheaper high-volume.
Official Social Update
FAQs
1. 3.1 public access when?
Preview Vertex/Gemini API select devs; GA Q2 2026 expected full prod like 2.5 rollout.
2. Coding tasks which wins?
3.1 preview multi-file reasoning; 2.5 SWE-Bench proven web/apps stable choose reliability.
3. Video analysis compare?
3.1 temporal events superior clips; 2.5 solid static frames/audio both multimodal powerhouses.
4. Cost devs important?
3.1 cheaper tokens than 2.5 high volume; preview free tier limited scale 2.5 enterprise.
5. Stable prod use now?
2.5 Pro yes Gemini Advanced/apps; 3.1 experimental benchmarks hype wait GA maturity.
