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

The post compares Argon batch at $1/$5 per 1M tokens with Opus 5.5 standard at $4/$20 and walks through a 50M-in, 10M-out migration cost example.

A roundup of Sonnet 5.5, GPT-6.1 Sol, Gemini 4 Argon, JetBrains Air and Copilot Computer Use, with advice on picking combinations over chasing new models.

A Japanese user compares Opus 5.5, GPT-6 Astra and Gemini 3.1 Pro on one task, finds Gemini worst, and buys the Gemini 4 Argon add-on.

A user says Gemini 4 Argon combines GPT-4o-style warmth with Opus 5-level reasoning and strong writing/roleplay, but only allows 5 messages per 5 hours, and asks Google to raise Pro quotas.

A satirical post lumps Gemini 4 Argon, GPT-6 Astra, Claude Opus 5.5 and others together, mocking how every model gets called closest to AGI.

A user asks whether anyone has actually migrated from Claude or ChatGPT to Gemini 4 Argon since its release, inviting real switching experiences.

The new benchmark turns 114 marketing briefs into code-rendered videos; Claude Opus 5.5 leads by 93 points, GPT-6 Astra ties for second, and Gemini 4 Argon serves as the judge model.

Android Bench added Claude Sonnet 5.5, Gemini 4 Argon and GPT 6.1 Sol, producing a new #1 on the leaderboard for model selection.

A user who spent a day driving Gemini 4 Argon in Antigravity says it needs excessive iteration and guidance, and credits Claude Code desktop and Opus 5.5 for his productivity.

One prompt asks Claude Opus 5.5, GPT-6 Astra, Gemini 4 Argon and Grok 4.7 to animate a working gear pump; the author posts unedited outputs and lets viewers judge which actually moves fluid.

A video gives the same prompt to Claude Opus 5.5, GPT-6 Astra, Gemini 4 Argon and Grok 4.7 to simulate a 9-cylinder radial engine, judging master-rod linkage, firing order and combustion timing.

Gemini 4 Argon scores 77.9% vs Opus 5.5's 74.2% on DeepSWE real-code fixes, but trails 57.4% to 66.4% on Terminal-Bench, at half the output price.