Snaxbyte-sized news, on the go
Microsoft shipped a model that scores decisions instead of writing text. It is aimed at the routing and grading layer sitting underneath every other model, not at replacing them. Nvidia is reportedly in early talks to buy or invest further in Reflection AI. The deal under discussion would turn its largest coding-model backer into its potential owner. OpenAI’s own safety index now lists more than a dozen cases of models cheating, hiding mistakes or sabotaging their tests. The newest, from 6 October 2026, shows a model trying to delete its way out of a failed grading task. Mistral previewed a trillion-parameter model and promised open weights within the month. It has not said yet what licence those weights will carry. OpenAI put GPT-6 in front of every ChatGPT tier at once. The model now decides whether an answer should be text, a chart, or a tool you can click. Anthropic cut Claude Haiku’s price by up to 90 percent and gave it a 1 million token context window. The cheap-model tier of the price war just got a lot more capable. Anthropic says an Istanbul firm used Claude to run a paid political operation aimed at Malaysian voters. Its report found no sign the campaign reached real communities. The White House ordered federal agencies to stop saying “AI.” A week later, Trump named four officials to run a new body built on the replacement term. Microsoft shipped a model that scores decisions instead of writing text. It is aimed at the routing and grading layer sitting underneath every other model, not at replacing them. Nvidia is reportedly in early talks to buy or invest further in Reflection AI. The deal under discussion would turn its largest coding-model backer into its potential owner. OpenAI’s own safety index now lists more than a dozen cases of models cheating, hiding mistakes or sabotaging their tests. The newest, from 6 October 2026, shows a model trying to delete its way out of a failed grading task. Mistral previewed a trillion-parameter model and promised open weights within the month. It has not said yet what licence those weights will carry. OpenAI put GPT-6 in front of every ChatGPT tier at once. The model now decides whether an answer should be text, a chart, or a tool you can click. Anthropic cut Claude Haiku’s price by up to 90 percent and gave it a 1 million token context window. The cheap-model tier of the price war just got a lot more capable. Anthropic says an Istanbul firm used Claude to run a paid political operation aimed at Malaysian voters. Its report found no sign the campaign reached real communities. The White House ordered federal agencies to stop saying “AI.” A week later, Trump named four officials to run a new body built on the replacement term.
Model prices /1M out
GPT-5.6 Luna $1.20 —
Qwen3.8-Max $6.00 —
Mistral Medium 3.5 $7.50 —
Claude Sonnet 5 $10.00 —
GPT-5.6 Terra $12.00 —
GPT-5.6 Sol $20.00 —
Claude Opus 5 $25.00 —
Claude Fable 5 $50.00 —
AI MODEL PROFILE

Gemini 3.6 Flash

The broadest input coverage of any current model, and the practical choice when your source material is not just text.

Source review Last reviewed October 7, 2026 By Google DeepMind

The facts at a glance

ProviderGoogle DeepMind
TypeFast multimodal model
Current version or tiergemini-3.6-flash, released 21 July 2026
ModalityText, image, video, audio, and PDF in, text out
AccessProprietary
Context or limits1,000,000 token input, 64,000 max output
Free optionYes. Free tier on the Gemini API, plus the Gemini app and Google AI Studio
Paid priceUSD 0.75 per million input and USD 3.75 per million output through 31 December 2026, rising to USD 1.50 and USD 7.50 from 1 January 2027. Batch requests are half those rates.

Pricing last checked October 7, 2026. Prices change and vary by region. Check the official pricing page ↗

Assessment

What it does well

  • Accepts text, image, video, audio, and PDF as input, which no rival matches as cleanly
  • Google reports it uses 17 percent fewer output tokens than 3.5 Flash on the Artificial Analysis Index while improving coding and multimodal results
  • Computer use is built in as a client side tool
  • A genuine free API tier

Where it falls short

  • A Flash tier workhorse, not a frontier reasoning model
  • Maximum output of 64,000 tokens is half that of the OpenAI and Anthropic flagships
  • Google has confirmed Gemini 3.5 Pro is still in testing and Gemini 4 is only in pre training, so the Pro tier has not moved in some time

Privacy and data control

Google states that with the Keep Activity setting on, chats are used to train generative AI models, and turning it off stops future chats being used. Even with it off, chats are still processed for safety and security, including by human reviewers.

The longer read

What multimodal actually buys you

Most models described as multimodal accept text and images. Gemini 3.6 Flash accepts video, audio, and PDF as first class inputs too. If your work starts with a recorded meeting, a scanned document, or a screen recording, that difference removes an entire preprocessing step rather than saving you a few tokens.

How it performs by outcome

We assess products against a job, not a leaderboard. These are the outcomes this entry is compared under.

Worth comparing against

Claude Fable 5 Long horizon tasks where the cost of a wrong answer exceeds the cost of the tokens Gemini 3.1 Pro Abstract reasoning problems and research inside the Google ecosystem DeepSeek-V4-Flash Teams that need to run a capable model on their own infrastructure Mistral Medium 3.5 Coding agents running on a small GPU cluster

How this profile was produced

Source review. Every fact here is drawn from the provider documentation linked below and checked on the date shown. We have not yet run this entry through a controlled test, and no scoring is implied.

Read the full review methodology →

Primary sources