Gemini 3.7 Flash: Benchmarks, Pricing, Specs

Gemini 3.7 Flash: Benchmarks, Pricing, Specs

Summary: Gemini 3.7 Flash in 30 Seconds Gemini 3.7 Flash landed on August 13, 2026, only three weeks after 3.6 Flash. Introductory pricing is $0.75 in / $3.75 out per 1M tokens: half of 3.6 Flash’s standard rate. The promo ends December 31, 2026. Coding jumped hard: FrontierCode 1.1 went from 34.4% to 43.6%, DeepSWE v1.1 from 48.6% to 65.3%. Context window is 1,048,576 tokens with a 65,536 token output cap. It takes text, images, video, audio and PDF. It is not the smartest model on the board: 56 on the Artificial Analysis index, one point behind GPT-5.6 Terra and Muse Spark 1.2, at roughly a third of their price. Google’s Flash line has never been about winning the intelligence crown. It is the model you run at volume: cheap enough to call thousands of times a day, fast enough to sit inside a product. Gemini 3.7 Flash stretches that definition. ...

August 13, 2026 ·  10 min ·  2024 words
DeepSeek V4 Pro 0813: Price and Benchmarks

DeepSeek V4 Pro 0813: Price and Benchmarks

Summary: DeepSeek V4 Pro in 30 Seconds DeepSeek V4 Pro 0813 went generally available on August 13, 2026. No press release, no blog post, just one line in a changelog. 1.7 trillion parameters, mixture-of-experts architecture, 1M token context, 384K token output ceiling. The weights are on Hugging Face under the MIT license. You can download them, modify them and ship them in a commercial product. Official scores are bold: 87.9 on Terminal Bench 2.1, 62.7 on DeepSWE. Independent testing is more restrained: 53 on the Artificial Analysis Intelligence Index. Pricing is $0.435 in and $0.87 out per million tokens. From August 16 the off-peak rate is half of that. The catch: its smaller sibling V4 Flash scores 52 on the same index at one third of the price. You are paying triple for one point. Model launches have settled into a ritual: a teaser video, a wall of benchmark charts, an excited founder post. DeepSeek skipped all of it. DeepSeek V4 Pro 0813 went generally available on August 13, 2026 with no announcement at all. One line landed in the API changelog and the weights appeared on Hugging Face. ...

August 13, 2026 ·  11 min ·  2150 words
Grok 4.6 Is Here! Benchmarks, Price and What Changed

Grok 4.6 Is Here! Benchmarks, Price and What Changed

Summary: Grok 4.6 in 30 Seconds Grok 4.6 is SpaceXAI’s new flagship model, announced on August 12, 2026. It is a post-training upgrade on the Grok 4.5 base, not a new foundation model. It scores 61 on the Artificial Analysis Intelligence Index: five points above Grok 4.5 from a month ago, level with GPT-5.6 Sol, two points behind Claude Opus 5. Pricing did not move: $2 per 1M input tokens and $6 per 1M output. Roughly half what rivals charge. A new reasoning tier arrived: xhigh. The model also checks and verifies its own work far more often. The context window is 500K tokens, but any request above 200K doubles the price of the whole call. In the AI race, a month is a long time. In early July we were writing about Grok 4.5. Five weeks later SpaceXAI announced Grok 4.6 and put the model straight back into the frontier conversation. ...

August 13, 2026 ·  9 min ·  1754 words
What Is GPT-5.6-Cyber? OpenAI's New Cybersecurity Model

What Is GPT-5.6-Cyber? OpenAI's New Cybersecurity Model

Summary: GPT-5.6-Cyber in 30 Seconds GPT-5.6-Cyber is a version of GPT-5.6 Sol trained to be far more permissive on cybersecurity work. Announced on August 10, 2026. It is not publicly available. Only verified security firms and researchers in the Daybreak Red tier can use it. In testing it answered 95% of advanced cyber requests. Standard GPT-5.6 Sol answered just 1.5%. It sits at the High capability level under OpenAI’s Preparedness Framework. The delayed Astra model is the one at the Critical threshold. OpenAI has announced a noticeably less restricted model for cyber defenders: GPT-5.6-Cyber. It is a variant of GPT-5.6 Sol tuned for cybersecurity workflows, and it is closed to ordinary ChatGPT users. ...

August 10, 2026 ·  5 min ·  1013 words
What Is ESP32-S3? Pinout, Board Variants and Getting Started

What Is ESP32-S3? Pinout, Board Variants and Getting Started

Summary: ESP32-S3 in 30 Seconds ESP32-S3 is Espressif’s dual-core Xtensa LX7 MCU running at 240 MHz with Wi-Fi and Bluetooth 5 (LE). 45 GPIOs, 512 KB of SRAM. Three things set it apart from the classic ESP32: built-in USB OTG, 14 touch channels, and a vector instruction set for neural-network workloads. Codes like N8R8 and N16R8 on the board are not arbitrary: N = flash, R = PSRAM, numbers in megabytes. The board has two USB ports and they behave differently. This is where beginners get stuck. GPIO35, GPIO36 and GPIO37 are unusable on many variants, GPIO19 and GPIO20 belong to USB, and four pins do double duty as strapping pins. Depending on the board revision, the RGB LED sits on either GPIO48 or GPIO38. If your blink sketch does nothing, check that first. If you have built something with an ESP32 and then tried to add a camera, audio, or a color display, you have probably hit the wall: not enough pins, not enough RAM, no USB. ...

August 10, 2026 ·  10 min ·  2069 words