Google: Gemini 4 Hydrogen

File input Image input Text input Audio input Video input Text output
Author's Description

Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than...

Key Specifications
Cost
$$$$$
Context
1M
Released
Nov 12, 2026
Speed
★★
Ability
★★★★
Reliability
★★★
Supported Parameters

This model supports the following parameters:

Temperature Response Format Top P Tool Choice Max Tokens Structured Outputs Seed Reasoning Tools Include Reasoning
Features

This model supports the following features:

Reasoning Tools Structured Outputs Response Format
Performance Summary

Google’s Gemini 4 Hydrogen delivers exceptional efficiency and dependable capability, serving as a versatile workhorse model with an expansive 1M-token context window. Across all evaluations, the model demonstrated outstanding reliability with a perfect 100% success rate, ensuring zero technical failures across demanding workloads. In terms of efficiency, Gemini 4 Hydrogen exhibits competitive response times alongside moderate pricing, offering an attractive price-to-performance ratio for cost-conscious, high-throughput applications. The model’s benchmark performance is anchored by extraordinary analytical capabilities. It achieved a flawless 100% accuracy score in complex reasoning, earning distinction as both the most accurate model at its price point and the most accurate model within its speed class. It also demonstrated elite proficiency in software engineering and structured tasks, scoring in the 90th percentile for coding (96.0% accuracy) and the 88th percentile for multi-step instruction following (85.0% accuracy). Its only relative limitation appeared in advanced mathematics, where a strong 93.0% absolute accuracy landed closer to the median at the 58th percentile. Overall, Gemini 4 Hydrogen stands out as a highly reliable, high-value choice for agentic routing, developer workflows, and rigorous logical problem-solving.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.75
Completion $3.75
Input Cache Read $0.0375
Input Cache Write $0.0417
Internal Reasoning $3.75
Web Search $14000

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Google AI Studio
Google AI Studio | google/gemini-4-hydrogen-20261112 1M $0.75 / 1M tokens $3.75 / 1M tokens
Google
Google | google/gemini-4-hydrogen-20261112 1M $1.5 / 1M tokens $7.5 / 1M tokens
Google AI Studio
Google AI Studio | google/gemini-4-hydrogen-20261112 1M $1.5 / 1M tokens $7.5 / 1M tokens
Google
Google | google/gemini-4-hydrogen-20261112 1M $1.65 / 1M tokens $8.25 / 1M tokens
Google
Google | google/gemini-4-hydrogen-20261112 1M $1.65 / 1M tokens $8.25 / 1M tokens
Google
Google | google/gemini-4-hydrogen-20261112 1M $2.7 / 1M tokens $13.5 / 1M tokens
Google AI Studio
Google AI Studio | google/gemini-4-hydrogen-20261112 1M $2.7 / 1M tokens $13.5 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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