Introducing GPT-5.5 with Perplexity
OpenAI released GPT-5.5, which cuts token consumption by 56% while maintaining or improving speed on agentic workflows. Early adopters like Perplexity report significant productivity gains, with one engineer completing an internal tool in under an hour versus days previously.
Modelwire context
Skeptical readThe 56% token reduction figure is presented without a stated baseline: 56% fewer tokens than GPT-5, than GPT-4o, or than some internal benchmark run? That denominator matters enormously for evaluating whether this is a genuine architectural improvement or a prompt-efficiency tuning pass dressed up as a model release.
Modelwire has no prior coverage to anchor this to directly, so this sits in a broader pattern worth naming: OpenAI has accelerated its cadence of named model variants (GPT-4o, GPT-4.5, now GPT-5.5) in ways that make version-to-version comparisons increasingly difficult for developers to track. The Perplexity co-sign is doing real work here as a credibility signal, but Perplexity has a commercial relationship with OpenAI's API, which makes them a motivated rather than independent validator. The agentic workflow framing also echoes a consistent OpenAI messaging thread around Codex and operator-facing products, though without prior coverage we cannot say whether this announcement materially advances that roadmap or restates it.
Watch whether third-party developers running high-volume agentic pipelines (outside the Perplexity relationship) publish reproducible token-count comparisons against GPT-5 on identical task sets within the next 60 days. If those numbers don't land near 50%, the 56% figure is likely task-specific, not general.
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MentionsOpenAI · GPT-5.5 · Perplexity · Denis · Codex
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