Google Launches Gemini 3.1 Pro with Unprecedented Crypto Security Benchmarks

Google Launches Gemini 3.1 Pro with Unprecedented Crypto Security Benchmarks

Google has officially unveiled Gemini 3.1 Pro, its latest large language model designed for enterprise and developer applications, marking a significant advancement in AI-powered cryptographic reasoning. According to Google’s official blog, the model achieves state-of-the-art performance across a broad spectrum of benchmarks, including the newly introduced EVMbench — a specialized evaluation framework for assessing AI’s ability to analyze, audit, and secure Ethereum Virtual Machine (EVM) smart contracts.

Independent testing by blockchain analytics firm ChainSight Labs, corroborated by third-party listings on Geeky Gadgets, indicates that Gemini 3.1 Pro outperformed OpenAI’s GPT-5 and Anthropic’s Claude 3.5 in detecting vulnerabilities such as reentrancy attacks, integer overflows, and logic bombs within real-world smart contract code. The model achieved a 94.7% accuracy rate in identifying critical security flaws, compared to 89.2% for GPT-5 and 87.5% for Claude 3.5, according to Blockonomi’s analysis of EVMbench results published on February 19, 2026.

The release of Gemini 3.1 Pro comes amid escalating concerns over smart contract exploits, which cost the blockchain industry over $2.3 billion in losses in 2025 alone. Google’s updated model integrates a novel multi-modal reasoning engine that cross-references contract bytecode, documentation, and historical exploit patterns to generate actionable security recommendations. Unlike prior iterations, Gemini 3.1 Pro can now simulate attacker behavior in real-time, predicting potential exploit paths before deployment — a capability previously exclusive to specialized formal verification tools.

Geeky Gadgets reported on February 13, 2026, that an unconfirmed listing on a third-party benchmarking platform hinted at an imminent update to Google’s Gemini series. The listing, which included performance metrics on code generation and security analysis tasks, accurately foreshadowed the official release. Analysts believe Google leveraged early benchmark data to refine the model’s precision in low-level EVM operations, particularly around gas optimization and opcode-level logic.

Industry experts have hailed the development as a watershed moment for AI in Web3. "Gemini 3.1 Pro isn’t just faster — it’s smarter at understanding the intent behind malicious code," said Dr. Lena Ruiz, Head of AI Security at ConsenSys. "This could shift the balance from reactive auditing to proactive prevention, fundamentally changing how decentralized applications are built and secured."

Google has made Gemini 3.1 Pro available via its AI Studio platform and Vertex AI, with API access rolling out to enterprise customers globally. The model also integrates seamlessly with popular development frameworks such as Hardhat and Foundry, allowing developers to run automated security scans directly within their CI/CD pipelines.

Despite its strengths, concerns remain over the potential misuse of such powerful models to craft more sophisticated exploits. Google has implemented strict content moderation and usage policies, requiring developers to undergo verification and agree to ethical use guidelines before accessing the API. The company also released an open-source tool, SecuEval, to help the broader community audit the model’s outputs.

As the AI and blockchain ecosystems converge, Gemini 3.1 Pro sets a new benchmark — not just in performance, but in responsibility. With its ability to protect the financial infrastructure of decentralized finance, Google has positioned itself at the forefront of the next generation of secure AI applications.