ModelPriceWatch.com
Last scan 2026-11-14 Models tracked 315 Providers 42 Cheapest paid pplx-decider-flash-v1.3 $0.010/Mtok in Every price links to its source

Gemini 4 Hydrogen

by Google

Current new · 2d flagship mid tier
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Availability: Generally available since November 12, 2026 through the Gemini API and Google AI Studio, on both the free and paid tiers. The 1,048,576-token window is shared by input and output; replies run up to 65,536 tokens by default, longer with Google's long-decode mode.

Today's price · per 1M tokens

Input

$1.50

per 1M tokens

Output

$7.50

per 1M tokens

Blended

$3.00

blended $/1M — 3:1 weighted input:output

Cached input

$0.075

5% of input — prompt caching

How this price is scoped: Standard paid tier, per 1M tokens: input $1.50, output $7.50 (thinking tokens included), context caching $0.075 (implicit caching only; explicit caching is not supported). Batch requests cost half: $0.75 input, $3.75 output. A free tier is also offered. We publish the Standard rate.

Source: official Google pricing · read MODELPRICEWATCH.COM · 2026-11-14

Price receipt

We read Google's own pricing page on and found Gemini 4 Hydrogen listed with a price on the same card — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is fdfdf7f3c6.

Overview

Google's fast, efficient Gemini 4 model for everyday coding and agentic workflows, generally available since 2026-11-12 and the successor Google points Gemini 3.8 Flash users to. $1.50/1M input and $7.50/1M output on the Standard paid tier. 1M-token context shared by input and output, with long-decode output up to 1M tokens.

Capabilities

struck through = not supported
Input 4/4
Text ✓ Image ✓ Audio ✓ Video ✓
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning Coding Fast inference ✓ Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 90.5th3 independent measurements
Percentile per $/Mtok 30.2

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 53.9 (xhigh effort) (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 46.3 (xhigh effort) (−100–100)
  • Arena (arena.ai): 1490.4 ELO (Human preference)
  • Arena WebDev: 1704.2 ELO (Human preference on building web apps)

Source: Artificial Analysis (artificialanalysis.ai)

Source: Arena (arena.ai) leaderboard dataset, CC BY 4.0

Artificial Analysis evaluations
  • Terminal-Bench 4.0: 53.5% (xhigh effort)
  • Cost to run the AA Intelligence Index: $3.16 per task, 14.1 min per task (xhigh effort)
  • Measured by AA: 182.3 tokens/sec output, 42.92s to first token (xhigh effort)

Source: Artificial Analysis (artificialanalysis.ai)

How it stacks up
  • Ranks #6 of 189 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #86 of 189 comparably-tested models by normalized performance per dollar

182.3 tokens/sec output 42.92s latency to first token (TTFT)

Throughput: Artificial Analysis, measured 2026-11-14 · Source: Artificial Analysis (artificialanalysis.ai)

Source: Artificial Analysis · updated · See full rankings →

Specifications

Provider
Google
Context window
1M tokens
Modality
text, image, audio, video
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
fastmultimodalflagship

Availability verified: — listed on Google's own page

Try on Google Official pricing page