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Gemini 4 Hydrogen benchmarks, pricing and specs

Gemini 4 Hydrogen is a Google model released on November 12, 2026 that takes text, image, audio and video input and produces text. It costs $1.50 per 1M input tokens and $7.50 per 1M output tokens and accepts up to 1,048,576 tokens of context. It scores 1490 Elo on Arena Text, #7 of 50 current models (Arena, measured November 11, 2026).

Per 1M input tokens
$1.50Listed today
Per 1M output tokens
$7.50Listed today
Context window
1.05M#12 of 68 current models
Arena Text
1490 Elo#7 of 50 current models

Data verified November 15, 2026 · Dataset 2026-11-15

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Specs

Key facts

Provider
Google
Model family
Gemini 4
Release date
November 12, 2026
Status
Current
Access
API only
API model id
gemini-4-hydrogen
Context window
1,048,576 tokens
Max output
65,536 tokens
Input
text, image, audio, video
Output
text
Task families
text, multimodal
Declared capabilities
reasoning, coding, agentic coding, image understanding, chart understanding, video understanding, audio understanding, document understanding

Charts

Against every current text model

Where Gemini 4 Hydrogen lands among the current models of its task, on every independent benchmark, on price and on context.

Where it stands

On Arena Text, Gemini 4 Hydrogen ranks #7 of 50 current text models. 31 of 58 list a lower price per 1M input tokens. Each bar is the share of current models it beats.

Gemini 4 Hydrogen among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

#7of 50

1,490 Elo · ahead of 88%

Arena WebDev

#7of 45

1,704 Elo · ahead of 86%

Price and context

Price per 1M input tokens

#32of 58

$1.50 · cheaper than 44%

Price per 1M output tokens

#36of 58

$7.50 · cheaper than 37%

Context window

#12of 68

1.05M tokens · longer than 61%

Quality against price

Arena Text · measured November 11, 2026

Gemini 4 Hydrogen scores 1,490 on Arena Text at $3 (blended price per 1M tokens). The line joins the 5 current models no other beats on both price and score; hover any point to name it.

Quality against priceArena Text score against price for 42 text models, Gemini 4 Hydrogen marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $2.58Median 1,473Blended price per 1M tokens (3 input : 1 output), log scaleArena Text (Elo)Gemini 4 Hydrogen
Quality against price: the data
Arena Text score against price for 42 text models, Gemini 4 Hydrogen marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 CarbonGoogle$41,526
Gemini 4 ArgonGoogle$41,522
Muse WonderMeta$81,511
Claude Opus 5.5Anthropic$81,507
Gemini 3.8 FlashGoogle$1.501,497
Muse Spark 1.3Meta$21,497
Gemini 4 HydrogenGoogle$31,490
Kimi K3Moonshot Kimi$61,487
GPT-5.6 SolOpenAI$81,485
Kimi K3.1 ProMoonshot Kimi$41,485
Qwen3.8-MaxAlibaba Qwen$31,484
Gemini 3.6 FlashGoogle$31,483
GLM-5.3Z.ai$2.151,482
GPT-5.5OpenAI$111,481
GPT-6.1 SolOpenAI$41,481
MiMo-V2.6-ProXiaomi MiMo$0.541,480
GPT-5.4OpenAI$5.631,475
DeepSeek-V4.1-FlashDeepSeek$0.521,475
GLM-5.3-FlashZ.ai$0.241,475
GPT-6 AstraOpenAI$201,474
Gemini 3 Flash PreviewGoogle$1.131,473
Claude Sonnet 5.5Anthropic$41,473
Grok 4.20xAI$1.561,472
GPT-5.6 TerraOpenAI$4.501,468
Grok 4.5xAI$31,466
DeepSeek-V4-ProDeepSeek$1.981,464
Grok 4.6xAI$31,457
GPT-6 SolOpenAI$41,457
Gemini 3.5 Flash-LiteGoogle$0.851,455
GPT-5.6 LunaOpenAI$0.451,453
Step 5 PreviewStepFun$1.431,449
MiMo-V2.6-FlashXiaomi MiMo$0.181,448
Grok 4.7xAI$31,443
Grok 4.3xAI$1.561,442
GPT-6 LunaOpenAI$0.201,441
Claude Haiku 5.5Anthropic$0.201,421
Mistral Large 4Mistral AI$1.051,420
GPT-4.1OpenAI$3.501,415
Inkling 2 SmallThinking Machines Lab$0.471,412
Solar Pro 4Upstage$0.521,387
GPT-4.1 miniOpenAI$0.701,383
GPT-4.1 nanoOpenAI$0.181,322

Price

Gemini 4 Hydrogen pricing

It is the #26 most expensive of 58 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$1.50standardCurrent
1M output tokens$7.50standardCurrent
1M input tokens$0.075cachedCurrent
1M input tokens$0.75batchCurrent
1M output tokens$3.75batchCurrent
1M input tokens$2.70priorityCurrent
1M output tokens$13.50priorityCurrent

Benchmarks

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are in the next section, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1490 Elo#7 of 50November 11, 2026Arena · 2026-11-15
Arena WebDev1704 Elo#7 of 45November 11, 2026Arena · 2026-11-15

Provider results

Reported by Google

Google's own results for Gemini 4 Hydrogen, beside the rivals it chose, as its table lists them. Labs pick the benchmarks and run them their own way, so compare within one table only. Internal benchmarks and other evaluators' indexes are left out.

Gemini 4 Hydrogen model card table, November 12, 2026Google DeepMind · 2026-11-15

BenchmarkGemini 4 HydrogenClaude Sonnet 5.5GPT-6.1 Terra
SWE-sweep13.5%3.1%5.8%
Terminal-Bench 4.1cheating-adjusted57.0%63.9%Not listed
Agents' Last Exam v1.1score71.6%60.4%69.8%
Vending-Bench 2bank balance$14,549$11,165$9,107
OSWorld-2.1offline subset77.6%83.9%74.2%
Chartography66.6%61.6%63.2%
Terminal-Bench-Science 0.151.4%59.9%58.3%

Google's results table from the Gemini 4 Hydrogen model card, every model at its highest thinking setting; Google's methodology is at deepmind.google/models/evals-methodology/gemini-4-hydrogen. Left out here: AutomationBench-AA and HLE-Diamond, which Google takes from the Artificial Analysis leaderboard, and MKA Climb, where every score but Hydrogen's comes from Artificial Analysis.

Fit

Strengths, cautions and best uses

Strengths
  • Google's fast Gemini 4 model, adapted from Gemini 4 Carbon for everyday coding and agentic work and Google's recommended upgrade from Gemini 3.8 Flash; it reads text, images, video, audio and PDFs in a 1,048,576-token context
  • $1.50 input, $7.50 output and $0.075 cached input per 1M tokens, flat across the whole context, with Batch and Flex at half price; it is also on the Gemini API free tier
  • Arena rates it 1704 on Arena WebDev, above GPT-6.1 Terra (1678) and Gemini 3.8 Flash (1583), and 1490 on Arena Text, above Claude Sonnet 5.5 (1473) (November 11, 2026)
  • In Google's own table it leads Claude Sonnet 5.5 and GPT-6.1 Terra on SWE-sweep (13.5% against 3.1% and 5.8%), Agents' Last Exam v1.1 (71.6% against 60.4% and 69.8%) and Chartography (66.6% against 61.6% and 63.2%)
Cautions
  • In Google's own table Claude Sonnet 5.5 scores higher on Terminal-Bench 4.1 (63.9% against 57.0%), OSWorld-2.1 (83.9% against 77.6%) and Terminal-Bench-Science 0.1 (59.9% against 51.4%)
  • A request returns at most 65,536 output tokens by default; longer outputs, up to 1,048,576 tokens, need Google long-decode mode, and only implicit context caching is supported
  • Arena places it below Claude Sonnet 5.5 on WebDev (1704 against 1772) and just below Gemini 3.8 Flash on Arena Text (1490 against 1497), on 4,741 text and 1,997 WebDev votes so far; Epoch AI has not measured it yet
Best for
  • Everyday coding, tool-using agents and parallel sub-agents at a mid-tier price
  • Document, chart and video workflows over very long multimodal inputs

From benchmark to production

Building on Gemini 4 Hydrogen?

Public scores rarely hold on your own data. We test it against the alternatives on your real tasks, then build the agent or pipeline around the model that wins.

AI Model Cost AuditLaunch price $100, regular price $150

Alternatives

Alternatives to Gemini 4 Hydrogen

The closest current text models by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

On score and price

Gemini 4 Hydrogen beside the 4 alternatives listed below, on Arena Text and on blended price per 1M tokens. One of them costs less and scores as well or better.

Gemini 4 Hydrogen and its alternatives on score and price.

Arena Text

Measured November 11, 2026, higher is better

Gemini 4 Hydrogen
1,490
Gemini 3.8 Flash
1,497
Gemini 3.6 Flash
1,483
GLM-5.3
1,482
DeepSeek-V4-Pro
1,464

Blended price per 1M tokens

Listed today, lower is better

Gemini 4 Hydrogen
$3
Gemini 3.8 Flash
$1.50
Gemini 3.6 Flash
$3
GLM-5.3
$2.15
DeepSeek-V4-Pro
$1.98

FAQ

Gemini 4 Hydrogen FAQ

How much does Gemini 4 Hydrogen cost?

Gemini 4 Hydrogen costs $1.50 per 1M input tokens and $7.50 per 1M output tokens at the standard tier. It is the #26 most expensive of 58 current text models priced per 1M input tokens. Source: Google, verified November 15, 2026.

What is the context window of Gemini 4 Hydrogen?

Gemini 4 Hydrogen accepts up to 1,048,576 tokens of context. It can return up to 65,536 tokens in one response. That ranks #12 of 68 current text models by context length.

How does Gemini 4 Hydrogen score on independent benchmarks?

Gemini 4 Hydrogen scores 1490 Elo on Arena Text, #7 of 50 current models (Arena, measured November 11, 2026) and 1704 Elo on Arena WebDev, #7 of 45 current models (Arena, measured November 11, 2026). These are independent evaluations, not Google's own launch figures.

What benchmark results has Google published for Gemini 4 Hydrogen?

In the Gemini 4 Hydrogen model card table (November 12, 2026), Google reports 13.5% on SWE-sweep, 57.0% on Terminal-Bench 4.1 (cheating-adjusted), 71.6% on Agents' Last Exam v1.1 (score) and $14,549 on Vending-Bench 2 (bank balance). These are Google's own figures, beside the rivals it chose, not independent measurements.

Is Gemini 4 Hydrogen open source or API only?

Gemini 4 Hydrogen is available through Google's API only; its weights are not published.

What are the best alternatives to Gemini 4 Hydrogen?

The closest current alternatives by price and measured performance are Gemini 3.8 Flash (50% cheaper per 1M input tokens, $0.75 vs $1.50), Gemini 3.6 Flash (same price per 1M input tokens, $1.50), GLM-5.3 (7% cheaper per 1M input tokens, $1.40 vs $1.50) and DeepSeek-V4-Pro (12% cheaper per 1M input tokens, $1.32 vs $1.50).

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Sources

Sources

All 283 sources behind the benchmarks, with their versions, licenses and notes, are in the source catalog.

Cite this page

Van Data Team. "Gemini 4 Hydrogen Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-11-15. https://vandatateam.com/ai-model-benchmarks/gemini-4-hydrogen

Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.

Production evaluation

Deciding whether Gemini 4 Hydrogen fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls