Quick Take

Gemini 3.6 Flash (released July 2026) and GPT-5.5 (released April 2026) are competitive models from Google and OpenAI, respectively. Gemini 3.6 Flash emphasizes throughput and affordability, whereas GPT-5.5 focuses on depth of performance and specialized benchmark success.

Benchmark Read

GPT-5.5 holds a slight edge in core metrics, with an Intelligence index of 50.4 compared to Gemini 3.6 Flash’s 50.1. In coding, GPT-5.5 scores 71.5, outperforming Gemini's 69.2.

Looking at specific benchmarks, GPT-5.5 demonstrates broader capabilities, including strong scores in IFBench (0.709), TerminalBench Hard (0.575), and TAU2 (0.918). Gemini 3.6 Flash remains highly competitive, particularly in GPQA (0.928) and LCR (0.696), though it falls slightly behind GPT-5.5 in HLE (0.383 vs 0.406) and SciCode (0.527 vs 0.535).

Cost and Speed

There is a stark contrast in operational efficiency. Gemini 3.6 Flash is significantly more affordable, with a blended cost of $3.00/1M tokens, compared to GPT-5.5’s $11.25/1M tokens.

In terms of performance, Gemini 3.6 Flash is built for speed, delivering an output rate of 310.997 tok/s. GPT-5.5 is slower at 74.73 tok/s, though it offers a faster time to first token (7.185s) compared to Gemini’s 12.799s.

Best Fit

Gemini 3.6 Flash is ideal for developers and enterprises requiring high-volume, cost-effective inference, especially for agentic workflows where speed is critical. GPT-5.5 is best suited for complex, logic-heavy applications where coding precision and specialized benchmark performance are the primary requirements.