Release report · November 2026Gemini 4 Hydrogen

Argon-level accuracy, at half the cost.

Model
gemini-4-hydrogen
Provider
Google
Run
Nov 10, 2026
Benchmark
AutomationBench 1.0.6
Tasks
657 per effort · 3 efforts

Gemini 4 Hydrogen completes 51.1% of AutomationBench's strict, end-to-end business tasks at high effort, for $0.82 a task. That is within 0.2 points of Gemini 4 Argon at half the cost per task, and 2.8 points below Gemini 4 Carbon, the highest score on the benchmark.

Best pass rate51.1%High effort · 336 of 657 tasks
vs. Gemini 4 Argon−0.2pts51.3% at High
Cost per task$0.82High effort · list-price estimate, with caching
Low → medium+16.1ptsmedium → high adds 4.4
On the frontier3/ 3effort settings no model in this comparison beats on both cost and accuracy

Key findings

01

The cheapest result near the top of the board

At high effort Gemini 4 Hydrogen passes 336 of 657 tasks for $0.82 each, against $1.63 for Gemini 4 Argon's 51.3% and $1.94 for Gemini 4 Carbon's 53.9%. It scores 2.8 points below Carbon and costs 58% less per task.

02

Every effort setting sits on the frontier

No configuration in this comparison is both cheaper and more accurate than any of Hydrogen's three. Medium is the value setting: 46.7% for $0.41 a task, half the cost of high for 4.4 points less.

03

Sales swings the most with effort

Sales climbs 36.7 points from low to high, 15.4% to 52.1%, the widest effort gain of any domain. Operations behaves the other way: it peaks at medium, 65.0%, and slips to 64.0% at high.

04

It never runs out of room

No task hits the 50-step cap at any effort, 0 of 657 all three times. Tool calls more than double from low to high (53.4 to 116.4) and reasoning tokens grow 8.7× (5,001 to 43,666 per task), while cached input rises from 80.4% to 90.0%.

01

Results by effort

Medium adds 16.1 points over low: 30.6% to 46.7%.

Scoring is strict. A task passes only if every assertion about the final state of the simulated company holds. All 657 tasks stay in the denominator at every effort. The dashed line marks Gemini 4 Argon at high effort, the strongest other result in this comparison.

Low
30.6%
201/657$0.18
Medium
46.7%
307/657$0.41
High
51.1%
336/657$0.82

Official pass rate · task_completed_correctly · 657 tasks per effort, all in the denominator

02

Against the field

Within 0.2 points of Gemini 4 Argon, for half the price.

Each bar is a model's best effort setting on AutomationBench 1.0.6. Gemini 4 Hydrogen is shown at high effort; the other results are the ones published on zapier.com/benchmarks. The Claude models appear only here, since their published costs use a different basis.

Gemini 4 CarbonHigh
53.9%
Claude Fable 5.2Max
51.4%
Gemini 4 ArgonHigh
51.3%
Gemini 4 HydrogenHigh
51.1%
Claude Sonnet 5.5Max
44.7%

Best observed pass rate per model · AutomationBench 1.0.6

03

Cost vs. accuracy

All three settings sit on the frontier, from $0.18 a task.

Each line is one model's effort settings, pass rate against cost per task. Nothing in this comparison is both cheaper and more accurate than any Hydrogen configuration. Gemini 4 Carbon still sets the highest score, 2.8 points above Hydrogen's best, at $1.94 a task.

0%10%20%30%40%50%60%$0$1$2Cost per task (USD) →Gemini 4 CarbonGemini 4 ArgonGemini 4 HydrogenLowMediumHigh
Gemini 4 Hydrogen Frontier Frontier point DominatedHover a point for details
View the data
ModelLowMediumHigh
Gemini 4 Hydrogen30.6%$0.1846.7%$0.4151.1%$0.82
Gemini 4 Carbon——53.9%$1.94
Gemini 4 Argon——51.3%$1.63

API cost per task, list-price estimate, with caching · pass rate at each effort, low to max · Cost comparisons use the models in this run's metrics export. Claude Fable 5.2 and Claude Sonnet 5.5 are pass-rate results from the zapier.com/benchmarks leaderboard, with Anthropic's default fallbacks.

04

By domain

Operations is the strongest domain, and it peaks at medium.

Each line runs across the three effort settings. Operations reaches 65.0% at medium and gives back a point at high. HR is the hardest: it gains 9.2 points across the full range, the narrowest of any domain, and finishes at 34.2%.

0%10%20%30%40%50%60%70%
Low → High
Operations
50.0%64.0%
+14.0pts
Finance
36.7%59.2%
+22.5pts
Marketing
41.0%57.0%
+16.0pts
Sales
15.4%52.1%
+36.7pts
Support
18.0%42.0%
+24.0pts
HR
25.0%34.2%
+9.2pts
Low Medium High

Full matrix

DomainLowMediumHigh
Sales15.4%18/11747.0%55/11752.1%61/117
Marketing41.0%41/10050.0%50/10057.0%57/100
Operations50.0%50/10065.0%65/10064.0%64/100
Support18.0%18/10036.0%36/10042.0%42/100
Finance36.7%44/12055.0%66/12059.2%71/120
HR25.0%30/12029.2%35/12034.2%41/120

Pass rate · passed / tasks per cell · darker = higher

05

Cost

$0.82 a task at high, $0.41 at medium.

Low has the lowest spend per passed task, $0.58, against $0.88 at medium and $1.61 at high. Spend per pass counts the cost of every failed task too. These are estimates at Google's stated rates, not billed costs.

EffortCost / taskPassed taskFailed taskSpend per pass
Low$0.18$0.19$0.17$0.58
Medium$0.41$0.42$0.40$0.88
High$0.82$0.76$0.88$1.61

USD, list-price estimate, with caching · spend per pass = all task costs ÷ passes, failures included

06

Tokens & tools

No task hits the step cap: 0 of 657, at every effort.

Tool calls climb from 53.4 per task at low to 116.4 at high, and steps from 10.6 to 18.6, well inside the 50-step cap. Reasoning tokens grow 8.7× across the same range, from 5,001 to 43,666 per task, while the cached share of input rises from 80.4% to 90.0%.

Reasoning Visible output (text + tool calls)Mean output tokens per task
Low
11.8k5.0k reasoning
Medium
27.4k16.7k reasoning
High
57.1k43.7k reasoning
EffortTool callsStepsCalls / stepInput tokensCached shareAt step cap
Low53.410.65.0215.2k80.4%0
Medium79.713.55.9611.8k86.3%0
High116.418.66.31383.4k90.0%0

Mean per task, all tasks included · step cap 50

07

Methodology

AutomationBench tests AI agents on end-to-end workflow execution using 47 simulated apps across six business functions: Sales, Marketing, Operations, Support, Finance and HR. Each task boots a small simulated company, hands the agent one request a real operations person would get, then grades the world it leaves behind with deterministic assertions.

  1. 01

    Boot a tiny company

    CRM records, inbox threads, spreadsheets and support cases, including traps like stale rows and near-duplicate names.

  2. 02

    The agent works alone

    The agent gets one trigger message and tools to search, read, update and send. It can't ask clarifying questions, and there's no human in the loop.

  3. 03

    Grade the end state

    Deterministic assertions check what changed. The task passes only if every one holds.

Model
gemini-4-hydrogen
Configuration
Gemini 4 Hydrogen
Benchmark
AutomationBench 1.0.6
Run dates
Nov 10, 2026
Tasks
657 per effort setting
Efforts
Low, Medium, High
Mode
API · 50-step cap
Metric
task_completed_correctly (strict)

CostEstimates at Google's stated rates for Gemini 4 Hydrogen: Gemini 3.8 Flash list rates on the Standard paid tier, without the 50% promotion that runs through December 31, 2026. $1.50 input, $0.15 cache read and $7.50 output per 1M tokens, with reasoning billed as output. Gemini implicit caching records no cache writes. These are not billed costs.

ComparisonsCost comparisons use the models in this run's metrics export. Claude Fable 5.2 and Claude Sonnet 5.5 are pass-rate results from the zapier.com/benchmarks leaderboard, with Anthropic's default fallbacks.