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Gemini 4 Hydrogen

Google's fast Gemini 4 model for everyday coding and agent tasks, with a 1M-⁠token context window and four thinking levels

About Gemini 4 Hydrogen

Gemini 4 Hydrogen is Google's fast Gemini 4 model for everyday coding and agent tasks, released on November 12, 2026. It is built on Gemini 4 Carbon, reads up to 1 million tokens of text, images, audio, video and files and writes up to 64,000 tokens in one reply

Gemini 4 Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default thinking level, one point above Gemini 4 Argon, and 54 at the highest. It beats Claude Sonnet 5.5 and GPT-⁠6.1 Terra on AutomationBench with 76.1% and on HLE-Diamond with 58.8%, and it finishes tasks 2.5 times faster than Gemini 3.8 Flash

On Overchat AI, Gemini 4 Hydrogen is in the model menu next to Gemini 4 Carbon and Gemini 4 Argon, so a quick task can go to Hydrogen and a hard one to Carbon in the same conversation

Developer
Google
Released
Nov 12, 2026
Context window
1M tokens
Max output
64,000 tokens
Input
Text, images and files
Output
Text
Reasoning
Four thinking levels, from low to xhigh
Available in
Gemini app, Google Search, Gemini API, Google AI Studio, Google Antigravity, Overchat AI
Modalities
Max output
64,000 tokens
Context window?
1M tokens
Released
Nov 12, 2026

Compare Gemini 4 Hydrogen

Gemini 4 Hydrogen vs Claude Sonnet 5.5

Gemini 4 Hydrogen scores higher than Claude Sonnet 5.5 in 6 of 9 benchmarks. The widest lead is in Agents' Last Exam v1.1: 71.6% against 60.4%. Claude Sonnet 5.5 is ahead in Terminal-Bench-Science 0.1: 59.9% against 51.4%. Gemini 4 Hydrogen writes 243 tokens per second, Claude Sonnet 5.5 writes 102

Benchmarks won
Gemini 4 Hydrogen: 6
Claude Sonnet 5.5: 3
Average score
Gemini 4 Hydrogen: 58.4%
Claude Sonnet 5.5: 56.7%
Output speed, tokens/s
Gemini 4 Hydrogen: 243
Claude Sonnet 5.5: 102
Time to first token, s (log scale)
Gemini 4 Hydrogen: 29.1
Claude Sonnet 5.5: 1.0
Claude Sonnet 5.5 aheadGemini 4 Hydrogen ahead
  • Agents' Last Exam v1.1+11.2
  • SWE-sweep+10.4
  • HLE-Diamond+5.5
  • Chartography+5.0
  • AutomationBench+4.3
  • MKA+1.4
  • OSWorld-2.1−6.3
  • Terminal-Bench 4.1−6.9
  • Terminal-Bench-Science 0.1−8.5

Gemini 4 Hydrogen vs GPT-6.1 Terra

Gemini 4 Hydrogen scores higher than GPT-⁠6.1 Terra in 7 of 8 benchmarks. The widest lead is in AutomationBench: 76.1% against 60.2%. GPT-⁠6.1 Terra is ahead in Terminal-Bench-Science 0.1: 58.3% against 51.4%. Gemini 4 Hydrogen writes 243 tokens per second, GPT-⁠6.1 Terra writes 75

Benchmarks won
Gemini 4 Hydrogen: 7
GPT-6.1 Terra: 1
Average score
Gemini 4 Hydrogen: 58.6%
GPT-6.1 Terra: 52.8%
Output speed, tokens/s
Gemini 4 Hydrogen: 243
GPT-6.1 Terra: 75
Time to first token, s (log scale)
Gemini 4 Hydrogen: 29.1
GPT-6.1 Terra: 4.3
GPT-6.1 Terra aheadGemini 4 Hydrogen ahead
  • AutomationBench+15.9
  • HLE-Diamond+11.5
  • MKA+9.6
  • SWE-sweep+7.7
  • OSWorld-2.1+3.4
  • Chartography+3.4
  • Agents' Last Exam v1.1+1.8
  • Terminal-Bench-Science 0.1−6.9
  • Terminal-Bench 4.1—

Best model by use case

Average benchmark scores of Gemini 4 Hydrogen and 2 other models by use case

  • Coding

    ?    SWE-sweep
    1. 1Gemini 4 Hydrogen13.5%
    2. 2GPT-6.1 Terra5.8%
    3. 3Claude Sonnet 5.53.1%

  • Agents

    ?    Average of 3 tests
    1. 1Gemini 4 Hydrogen75.1%
    2. 2Claude Sonnet 5.572.0%
    3. 3GPT-6.1 Terra68.1%

  • Knowledge work

    ?    Average of 2 tests
    1. 1Gemini 4 Hydrogen60.0%
    2. 2Claude Sonnet 5.556.8%
    3. 3GPT-6.1 Terra53.5%

  • Reasoning

    ?    Average of 2 tests
    1. 1Claude Sonnet 5.556.6%
    2. 2Gemini 4 Hydrogen55.1%
    3. 3GPT-6.1 Terra52.8%

Gemini 4 Hydrogen benchmarks

Compare Gemini 4 Hydrogen with Claude Sonnet 5.5 and GPT-⁠6.1 Terra in 9 benchmarks measuring coding, agents, knowledge work and reasoning

Order

Coding

  • SWE-sweep?Gemini 4 Hydrogen13.5%Claude Sonnet 5.53.1%GPT-6.1 Terra5.8%13.5%+7.7
  • Terminal-Bench 4.1?Gemini 4 Hydrogen57.0%Claude Sonnet 5.563.9%GPT-6.1 Terra—57.0%−6.9

Agents

  • Agents' Last Exam v1.1?Gemini 4 Hydrogen71.6%Claude Sonnet 5.560.4%GPT-6.1 Terra69.8%71.6%+1.8
  • AutomationBench?Gemini 4 Hydrogen76.1%Claude Sonnet 5.571.8%GPT-6.1 Terra60.2%76.1%+4.3
  • OSWorld-2.1?Gemini 4 Hydrogen77.6%Claude Sonnet 5.583.9%GPT-6.1 Terra74.2%77.6%−6.3

Knowledge work

  • MKA?Gemini 4 Hydrogen53.4%Claude Sonnet 5.552.0%GPT-6.1 Terra43.8%53.4%+1.4
  • Chartography?Gemini 4 Hydrogen66.6%Claude Sonnet 5.561.6%GPT-6.1 Terra63.2%66.6%+3.4

Reasoning

  • Terminal-Bench-Science 0.1?Gemini 4 Hydrogen51.4%Claude Sonnet 5.559.9%GPT-6.1 Terra58.3%51.4%−8.5
  • HLE-Diamond?Gemini 4 Hydrogen58.8%Claude Sonnet 5.553.3%GPT-6.1 Terra47.3%58.8%+5.5

Sources: Google, Introducing Gemini 4 Hydrogen (Nov 12, 2026), Google, Gemini 4 Hydrogen for developers (Nov 12, 2026), Google DeepMind, Gemini 4 Hydrogen model card

Gemini 4 Hydrogen speed

Output speed is how fast the model writes (tokens per second, higher is better). Time to first token is how long you wait before the answer starts (lower is better)

Output speed and time to first token of 36 models

?Percentile
Time to first token, s (log scale)
Output speed, tokens/s (log scale)
Output speed and time to first token of 36 models
ModelsOutput speed, tokens/s (log scale)Time to first token, s (log scale)
GPT-6 Luna1432.4
GPT-6.1 Terra754.3
GPT-6.1 Sol582.9
GPT-6 Astra483.2
Claude Opus 5.5881.9
Claude Opus 5542.6
Claude Opus 4.8591.3
Claude Fable 5.2842.3
Claude Sonnet 5.51021
Claude 5 Sonnet21510.5
Claude Sonnet 4.622010.8
Claude Haiku 5.51672.1
Gemini 4 Carbon16929.5
Gemini 4 Hydrogen24329.1
Gemini 4 Argon916
Gemini 3.8 Flash2037.5
Gemini 3 Pro27011.2
Grok 4.7818.9
Grok 4.629032
Qwen 3.8 Max8130.6
DeepSeek V4 Pro1441.1
DeepSeek V4.1 Flash4222.2
Mistral Large 42268.6
Hy421437.7
ERNIE 5.5 Flash4052.7
Muse Wonder9808.7
Muse Spark11296.2
Kimi K3.1 Pro3407.4
Kimi K33385.9
GLM 5.31971.2
Flint19412.3
Llama 4810.7
Claude 4.5 Haiku1620.9
MiniMax M31694.5
MiniMax M3.1 Flash6567.2
Kimi K2.7 Code4553.6

Typing test

Every model writes the same answer. The test waits the model's time to first token, then prints the text at the model's output speed and shows the total time

Answer length
  • Gemini 4 Hydrogen243 tokens/s29.1 s to first token
  • Claude Sonnet 5.5102 tokens/s1.0 s to first token
  • GPT-6.1 Terra75 tokens/s4.3 s to first token

Source: Overchat AI, 2026-11-12

See how Gemini 4 Hydrogen answers

Examples of Gemini 4 Hydrogen answers to 3 prompts: Fix a bug, Write a SQL query and Build a formula. Each answer is the unedited output of the model

This function should return the top 3 customers by total spend, but it returns the wrong people. Find the bug and fix only what's wrong. ```python def top_customers(orders): totals = {} for o in orders: totals[o['customer']] = o['amount'] ranked = sorted(totals.items(), key=lambda x: x[1]) return [name for name, _ in ranked[:3]] ```

Gemini 4 Hydrogen

There are two bugs in the function:

  1. Overwriting instead of summing: totals[o['customer']] = o['amount'] replaces a customer's previous order amount instead of adding to their total spend.
  2. Ascending sort order: sorted(...) defaults to ascending order, so ranked[:3] returns the 3 lowest-spending customers instead of the top 3.

Here is the corrected function:

python
def top_customers(orders):
    totals = {}
    for o in orders:
        totals[o['customer']] = totals.get(o['customer'], 0) + o['amount']
    ranked = sorted(totals.items(), key=lambda x: x[1], reverse=True)
    return [name for name, _ in ranked[:3]]

Write a PostgreSQL query: monthly revenue for 2026 and the change from the previous month in percent. Tables: orders(id, customer_id, created_at, status), order_items(order_id, product_id, quantity, unit_price). Only orders with status 'paid' count.

Gemini 4 Hydrogen
sql
WITH months AS (
    SELECT generate_series(
        DATE '2025-12-01',
        DATE '2026-12-01',
        INTERVAL '1 month'
    )::date AS month_start
),
raw_monthly_revenue AS (
    SELECT
        date_trunc('month', o.created_at)::date AS month_start,
        SUM(oi.quantity * oi.unit_price) AS revenue
    FROM orders o
    JOIN order_items oi ON oi.order_id = o.id
    WHERE o.status = 'paid'
      AND o.created_at >= '2025-12-01'
      AND o.created_at < '2027-01-01'
    GROUP BY 1
),
monthly_revenue AS (
    SELECT
        m.month_start,
        COALESCE(r.revenue, 0) AS revenue
    FROM months m
    LEFT JOIN raw_monthly_revenue r ON r.month_start = m.month_start
),
with_prev AS (
    SELECT
        month_start,
        revenue,
        LAG(revenue) OVER (ORDER BY month_start) AS prev_revenue
    FROM monthly_revenue
)
SELECT
    TO_CHAR(month_start, 'YYYY-MM') AS month,
    revenue,
    ROUND(
        (revenue - prev_revenue) * 100.0 / NULLIF(prev_revenue, 0),
        2
    ) AS mom_change_pct
FROM with_prev
WHERE month_start >= DATE '2026-01-01'
ORDER BY month_start;

Key details handled

  • Zero-revenue months: generate_series ensures every month in 2026 is present so LAG() always compares against the true prior calendar month rather than skipping months with no paid orders.
  • January 2026 baseline: Starting at 2025-12-01 lets January 2026 compute its change against December 2025 before filtering the final output to 2026. (If you want January 2026 to always be NULL, change both 2025-12-01 references to 2026-01-01.)
  • Division by zero: NULLIF(prev_revenue, 0) returns NULL instead of an error if the previous month had 0 revenue.
  • Index-friendly date filter: Filtering o.created_at with >= and < allows PostgreSQL to use an index on orders(created_at) if one exists.

Write one Google Sheets formula for cell E2: the sales commission on the amount in D2. 0% up to $5,000, 5% on the part from $5,000 to $20,000 and 8% on everything above $20,000.

Gemini 4 Hydrogen

Put this formula in cell E2:

excel
=MAX(0, MIN(D2, 20000) - 5000) * 0.05 + MAX(0, D2 - 20000) * 0.08

How it works:

  • MAX(0, MIN(D2, 20000) - 5000) * 0.05: Calculates 5% only on the portion of D2 between $5,000 and $20,000 (up to a maximum of $15,000).
  • MAX(0, D2 - 20000) * 0.08: Calculates 8% on any amount above $20,000.
  • Anything at or below $5,000 evaluates to $0.

More prompts to try with Gemini 4 Hydrogen

What Gemini 4 Hydrogen is best for

  • Everyday coding

    Paste a bug, a failing test or a small feature request, and Gemini 4 Hydrogen changes only the lines that need it. It scores 13.5% on SWE-sweep, more than twice GPT-⁠6.1 Terra at 5.8% and four times Claude Sonnet 5.5

  • Agents and workflows

    Give Gemini 4 Hydrogen a task with many steps, and it plans them, calls tools and recovers when a step fails. It scores 76.1% on AutomationBench and 71.6% on Agents' Last Exam, ahead of Claude Sonnet 5.5 and GPT-⁠6.1 Terra on both

  • Data, charts and spreadsheets

    Show Gemini 4 Hydrogen a chart, a table or a spreadsheet, and it finds the trend, writes the formula or the SQL query and checks the numbers. It scores 66.6% on Chartography and 53.4% on MKA, the best results in its table

  • Hard questions

    Ask a hard question in science, finance or law, and Gemini 4 Hydrogen works through it step by step. It scores 58.8% on HLE-Diamond, ahead of Claude Sonnet 5.5 at 53.3% and GPT-⁠6.1 Terra at 47.3%

How to use Gemini 4 Hydrogen on Overchat AI

Start in the chat at the top of this page or in the Overchat AI app on the web, iOS or Android

  1. The Models menu with Gemini 4 Hydrogen picked
    01

    Pick Gemini 4 Hydrogen

    It is already picked in the chat on this page. In the Overchat AI app, open the model list next to the message field and pick Gemini 4 Hydrogen

  2. Message field with a file attached and a request
    02

    Attach your code or a file

    Add code, a document, a spreadsheet or a screenshot, and write what you need: the result, the format and what must stay the same

  3. Gemini 4 Hydrogen's answer and a follow-up
    03

    Keep going in the same chat

    Ask a follow-up, ask for tests or a shorter version, or switch to another model without losing the conversation

Why use Gemini 4 Hydrogen on Overchat AI

One account for chat, images and video, on every device

Superchat picked over Gemini 4 Hydrogen: one request done by Claude Opus 5.5 (the plan) and Nano Banana 2.1 (the poster)

Superchat AI agent

Superchat Agent automatically routes your message to the model best suited for the task. It can generate images and videos, use the AI tools built into Overchat AI, and learn from your interactions to get better over time

Message field with a PDF, a spreadsheet and a dashboard screenshot attached, Gemini 4 Hydrogen picked and a voice message being recorded

Chat with images and files

Upload PDFs, spreadsheets, code and screenshots and ask Gemini 4 Hydrogen about them. You can also dictate a message instead of typing it

An image made with Nano Banana 2.1 and a surfing video made with Seedance 2.5

Go beyond text

Generate images with Nano Banana and GPT Image and videos with Seedance and Kling in the same account, with the same credits as chat

Overchat AI on the web and iPhone, and the Superchat screen of the iPhone app

On the web and iPhone

Start a chat on your laptop and finish it on your phone. The Overchat AI app has the same models, and your chats stay in one account on every device

Download on the App Store

Gemini models on Overchat AI

Compare 5 Gemini models on Overchat AI by output speed, time to first token and the price of one message

Models
Output speed, tokens/s
First token, s
Credits per message?
Gemini 4 Carbon
169
29.5
1
Gemini 4 HydrogenThis page
243
29.1
1
Gemini 4 Argon
91
6.0
1
Gemini 3.8 Flash
203
7.5
30
Gemini 3 Pro
270
11.2
1

Source: Overchat AI, 2026-11-12

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Ready to try Gemini 4 Hydrogen?

Ask your first question or attach a file, and Gemini 4 Hydrogen answers in the Overchat AI chat

Chat with Gemini 4 Hydrogen

Gemini 4 Hydrogen FAQ

If you have any questions,
reach out to us at hello@overchat.ai

Gemini 4 Hydrogen is Google's fast Gemini 4 model for everyday coding and agent tasks, released on November 12, 2026. It is built on Gemini 4 Carbon, reads up to 1 million tokens of text, images, audio, video and files and thinks at one of four levels: low, medium, high or xhigh

Yes. Hydrogen was the codename of the next Gemini Flash model, and Google released it as Gemini 4 Hydrogen instead of Gemini 4 Flash. It takes over from Gemini 3.8 Flash as Google's everyday model

Yes. Gemini 4 Hydrogen is in the Gemini app, Google Search, Google AI Studio, the Gemini API as gemini-4-hydrogen and Google Antigravity. On Overchat AI you pick it in the model menu of the chat on the web and in the iOS app

Hydrogen is the faster model for everyday work, and Carbon is Google's strongest Gemini for long, hard tasks. Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default setting, one point above Gemini 4 Argon at 50, while Carbon scores 60

At agents, data and hard questions, yes: Gemini 4 Hydrogen scores 76.1% against 71.8% on AutomationBench, 71.6% against 60.4% on Agents' Last Exam and 58.8% against 53.3% on HLE-Diamond. Claude Sonnet 5.5 is ahead in the terminal (63.9% against 57.0% on Terminal-Bench 4.1), at computer use (83.9% against 77.6% on OSWorld-2.1) and at science tasks (59.9% against 51.4%)

Gemini 4 Hydrogen has four thinking levels: low, medium, high and xhigh. High is the default. Xhigh raises its Intelligence Index score from 51 to 54 and takes longer, and low answers the fastest

Yes. Gemini 4 Hydrogen reads images, PDFs, spreadsheets and charts as well as audio and video, and it answers in text. To make a picture, pick GPT Image 2.6 in the same chat

Gemini 4 Hydrogen reads up to 1 million tokens in one conversation, about 750,000 words, and writes up to 64,000 tokens in one reply

Type your message in the chat at the top of this page, attach a file if you need to and press Send. After you sign in, Gemini 4 Hydrogen answers in the Overchat AI chat, where you can keep the conversation going on the web, iOS or Android and switch to another model at any time

More tools

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