I Tested NEW Gemini 4 Argon on 23 Coding Prompts
AI Coding Daily YouTube 27,095 views as of 14 October 2026
Why it is here
Coding test (10:14) of Argon on 23 prompts, by the channel that ran the same series on Sonnet 5.5.
Description
Description written by Gemini from the videoGemini 3.8 Flash, 14 October 2026
Summary
Povilas Korop from AI Coding Daily evaluates Google DeepMind’s newly released Gemini 4 Argon across his standardized benchmark of 23 coding evaluation prompts. He analyzes the model’s availability, high inference and subscription costs, execution speeds, and benchmark performance across Laravel, React/TypeScript, bug detection, and edge-case testing, before revealing its placement on his LLM coding leaderboard.
What is shown
- [00:00] Sundar Pichai’s official post announcing the global release of Gemini 4 Argon across the Gemini API, Gemini platform, and Antigravity for Ultra subscribers.
- [00:43] Google’s Gemini pricing page detailing the differences between Google AI Pro ($19.99/month) and Google AI Ultra ($99.99/month).
- [01:33] Announcements from alternative providers making Gemini 4 Argon accessible, including OpenRouter, Cognition (Devin), and OpenCode.
- [01:56] Terminal execution logs of benchmark runs via OpenRouter, highlighting token limits, execution durations (6–8 minutes), and high per-prompt costs ($0.796 to $0.935).
- [02:55] Devin UI and terminal logs displaying quota exhaustion warnings (hitting 98% daily quota) during evaluation runs.
- [04:43] Terminal outputs showing test passes and failures, including edge-case failures on non-CSV file validation in a PHP import task and timeouts exceeding 15 minutes.
- [06:06] Output from a bug-finding evaluation showing Gemini 4 Argon identified 16 total bugs (11 natural, 5 speculative), earning a score of 71.9/100 (7.19 points).
- [06:47] The updated AI Coding Daily LLM Coding Leaderboard (dated October 14, 2026), placing Gemini 4 Argon (High) at rank #18 with 57.09 total points.
- [07:47] Community benchmarks on X from Paweł Huryn (33 bugs fixed vs. GPT-6 Astra’s 45) and Theo (codebase analysis bench score of 3.95 with >50% false claim rate).
- [09:22] Excerpt from Google’s official announcement post indicating Gemini 4 Argon is the first model in an upcoming Gemini 4 family.
Claims & numbers
- The presenter says Gemini 4 Argon in Google Antigravity is restricted exclusively to Google AI Ultra subscribers ($99.99/month), excluding Google AI Pro ($19.99/month) users [00:36].
- The presenter notes Cognition offered a 75% promotional discount on Gemini 4 Argon for Devin users through October 27 [01:38, 03:09].
- On OpenRouter, running Gemini 4 Argon at high effort cost between $0.796 and $0.935 per prompt [02:16, 02:42].
- Evaluation runs took 6 to over 15 minutes per prompt, requiring the presenter to increase execution timeouts from 15 to 30 minutes [02:40, 04:54, 05:04].
- In the bug-finding test against 21 planted bugs, the presenter states Gemini 4 Argon found 16 total bugs (11 out of 16 natural bugs), receiving a score of 7.19 out of 10 [06:12].
- On the AI Coding Daily leaderboard, Gemini 4 Argon (High effort) scored 57.09 total points (#18 overall): 17.15/20 on Laravel Code Quality, 18.5/20 on React/TS Code Quality, 7.19/10 on Bug Finding, and 14.25/20 on Edge-Case Testing [07:04].
- The presenter points out that Claude Haiku 5.5 (Medium) outscored Gemini 4 Argon on the leaderboard (scoring 58.07 at #16) [07:11].
- Citing Paweł Huryn’s benchmark, the presenter notes Gemini 4 Argon fixed 33 bugs out of 45 maximum, trailing GPT-6 Astra (45), Claude Fable 5.1 (43), and Claude Opus 5.5 (41.7) [07:56].
- Citing Theo’s codebase analysis benchmark, the presenter states Gemini 4 Argon placed last with a weighted score of 3.95 and a false claim rate over 50% [08:09].
Notable quotes
- “Argon was maybe named after the fact that your tokens are gone really fast.” [04:26]
- “If you ask Argon to generate some code, you will get pretty average result for really high price.” [07:40]
- “Google is now back in the game, back in the race as average model for coding...” [08:28]
Assessment
This is an authentic, independent benchmark review video demonstrating real evaluation runs and command-line execution logs across multiple developer tools. The presenter provides verifiable test results and leaderboard statistics, though he relies on third-party API wrappers (OpenRouter and Devin) rather than Google Antigravity due to subscription-tier restrictions.
Described by gemini-3.8-flash on 2026-10-14 from the video’s audio and frames.