Google grapples with employee skepticism about new Gemini 4
Google says the model leads on several benchmarks and offers up to 1 million output tokens, but employees say it struggles with coding tasks.
- On Wednesday, Google unveiled Gemini 4 Argon to select cybersecurity partners, featuring an expanded output limit of up to 1 million tokens and "leading performance" in cybersecurity defense.
- Despite posting high benchmark scores, some Googlers report the model "does less well when employees actually put it to work," suggesting it may struggle with certain coding tasks.
- Googlers remain divided on capability; a "large consensus" views the model as frontier-grade, while others worry it "will still lag behind" competing offerings from Anthropic and OpenAI.
- Pricing for Gemini 4 Argon is set at "$4 per 1M input tokens and $20 per 1M output tokens," with Google offering introductory rates at half that cost.
- Google DeepMind head Koray Kavukcuoglu defended the release, stating "it's a certainty that we are always gonna be at the frontier," while the company rejected coding underperformance claims.
15 Articles
15 Articles
Google’s latest launch puts its AI ambitions to the test
Alphabet Inc.’s Google has begun rolling out Gemini 4 Argon, its long-awaited flagship artificial intelligence model, but the company is grappling with internal skepticism over how well it performs in key areas, such as coding.
Google’s Gemini 4 “Argon” Faces Internal Doubts Over Real-World Coding Performance
Google parent company Alphabet on Wednesday unveiled Gemini 4 "Argon," its flagship artificial intelligence model, according to the company. Alphabet shares traded about 2% higher after hours following the announcement, according to Goldman Sachs equities color cited by ZeroHedge [1]. Bloomberg subsequently reported that some Google engineers were less impressed than benchmark scores suggested, and the stock later faded [1]. The reported divide …
The US internet giant's latest version of its artificial intelligence is getting a reception among employees, although it has to be Google's spearhead in the competition against OpenAI and Anthropic.
Gemini 4 performs well in tests, but bogs down in operation - Google employees complain
Google has begun rolling out its long-awaited flagship artificial intelligence model, the Gemini 4 Argon, but doubts are growing within the company about its performance qualities in key areas, including writing software code. However, Google management is optimistic. Image source: blog.google Google showed off the Gemini 4 Argon model to a small group of partners […]
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