Gemini 4 Pro / Flash: benchmarks, hands-on tests and leaks

The user floats a hot take that DeepSeek is better than Gemini 4 Argon and asks for agreement, without citing specific benchmark data.

A researcher says they feed drafts and paper excerpts to Gemini Argon with a simple 'help me organize this' prompt.

A Google developer account says Gemini 4 Argon in Antigravity handles system-level tasks, citing 2x speedup on legacy research code and 40% less session prep overhead.

A user argues the new Intelligence Index v5 ordering clashes with hands-on experience, calling out the placements of Gemini 4 Argon, Muse Wonder Full and GPT-6.1 Sol and doubting the index's integrity.

A user reports all Google AI Pro plans now get Gemini 4 Argon and Antigravity, including student discounts, India Jio and Pixel bundles, not just full paying users.

DeepMind paired Gemini 4 Argon with Genie 4 to simulate an Apollo humanoid playing checkers, testing whether the model can replan after objects are moved mid-task.

A new coding benchmark screenshot shows Haiku 5.5 at 27.7% and Gemini 4 Argon at 26.3%, with the poster surprised Argon lost to Haiku.

A user cites the latest benchmarks to argue GPT-6.1 Terra outperforms Gemini 4 Argon and Fable 5.1 in every way, and questions why others disagree.

A Chinese post says the new benchmark restores GPT-6 Astra's standing, exposes overrated models, and shows Gemini 4 Argon scoring higher than before.

A user is baffled that Terra ranks above Fable 5.1 and Gemini 4 Argon, asking how a $13-per-task model loses to a $1 one.

A video comparison says GPT-6.1 Terra outscores Gemini 4 Argon on the AA Intelligence Index, yet its generated visuals look clearly worse, which the author uses to question the leaderboard.

A video compares Gemini 4 Argon and GPT-6.1 Terra side by side; Terra leads on the AA index, but the author says Argon's actual output is clearly better.