GPT-5.5 benchmark results have been released
The new model achieves 95% on MMLU-Pro and costs 40% less…
OpenAI has unveiled benchmark results for GPT-5.5, the successor to GPT-4o, showcasing significant leaps in reasoning, speed, and cost efficiency. On the MMLU-Pro benchmark, GPT-5.5 achieves a 95% accuracy score, a 12-point increase over its predecessor, while also improving on coding benchmarks like HumanEval (92%) and math reasoning on GSM8K (98%). The model introduces a 256K token context window, enabling processing of entire codebases or lengthy documents in a single pass. OpenAI reports a 50% reduction in inference latency and a 40% decrease in per-token cost, making it more accessible for high-volume applications.
Beyond raw performance, GPT-5.5 features enhanced native tool-calling capabilities for AI agents, allowing seamless integration with external APIs, databases, and workflows. The model also incorporates improved safety alignment with reduced hallucination rates (down to 2% from 5% in GPT-4o). Developers can access GPT-5.5 via the OpenAI API starting today, with a ChatGPT Plus rollout planned for next week. Early adopters report 3x faster code generation and more accurate multi-step reasoning, positioning GPT-5.5 as a strong contender for enterprise automation, real-time customer support, and complex research tasks.
- GPT-5.5 scores 95% on MMLU-Pro, a 12-point gain over GPT-4o
- Inference latency reduced by 50% and cost per token down 40%
- Features 256K token context window and native agent tool-calling
Why It Matters
GPT-5.5 slashes costs and latency, making advanced AI more viable for real-time enterprise apps.