You think 4x faster than you type. Why slow down?
Wispr Flow turns your voice into ready-to-send text inside any app. Speak naturally and Flow handles the cleanup -- stripping filler words, fixing grammar, formatting everything properly.
For developers, this means:
Dictate into Cursor, VS Code, or any IDE with full syntax accuracy
Give coding agents 10x more context by talking instead of typing
Write PRs, docs, and Linear tickets without switching to a text editor
Respond to Slack and email without breaking your flow state
Used by teams at OpenAI, Vercel, and Clay. 89% of messages sent with zero edits. Millions of users worldwide.
Available on Mac, Windows, iPhone, and now Android - free and unlimited on Android during launch.
GPT-5.4 is already here and it's looking incredibly promising.
With game-changing features like a 4x bigger token window and native computer use, GPT-5.4 is here to not just be your occasional agentic assistant -- but a partner participating much deeply in all your most complex engineering workflows.
They even introduced a new "Pro" model that gives you the ultimate intelligence for research-grade and extreme reasoning tasks.
And look -- now it even lets you send messages while it's thinking to refine its thought process to get exactly what you want -- something that could be really useful during extended debugging:
An incredible theme park simulation game made by GPT-5.4 from a single prompt -- all image assets generated by AI:
[demo: theme park simulation game made by gpt-5.4 from single prompt] View on web
Let's check out 5 of the most important improvements in GPT-5.4 and why they matter for us as software developers.
1. Massive 1 million token context window
GPT now has a 1 million token context window for the first time ever.
GPT-5.4 supports roughly 1,050,000 tokens, which is dramatically larger than previous generations.
For developers, this changes how we can work with AI. Instead of feeding the model a few files at a time, we can provide:
large portions of a codebase
architecture documentation
test outputs and logs
API specifications
migration plans and design discussions
This means we can ask the model to reason about much large software systems that before.
You could load multiple services, recent bug reports, and stack traces into the same context and ask the model to propose a fix strategy. The model has enough room to maintain the broader system understanding while helping you debug.
And having more context to think with also improves the accuracy of your results.
2. GPT-5.4 Pro for hard engineering problems
OpenAI also introduced GPT-5.4 Pro, a version of the model designed for more difficult tasks that benefit from deeper reasoning and more compute.
As developers, we often face problems that are not quick autocomplete or simple code generation tasks.
Like:
diagnosing distributed system failures
planning large refactors
designing migration strategies
analyzing complex concurrency bugs
In these cases, speed is less important than correctness. GPT-5.4 Pro is here for exactly that scenario.
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