Gemini 4 Hydrogen
Last verified November 13, 2026 · Google pricing ↗$1.50/1M input · $7.50/1M output · 1.0M context · Google
Gemini 4 Hydrogen costs $1.50 per 1M input tokens and $7.50 per 1M output tokens from Google, with a 1.0M-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0053, or $52.50 per 10,000 requests. On that workload it is cheaper than 66 of the 173 other buyable models tracked here.
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What Gemini 4 Hydrogen Costs Per Request
At $1.50 per 1M input and $7.50 per 1M output tokens, before caching or batch discounts.
| Workload | Input / output tokens | Per request | Per 10,000 requests |
|---|---|---|---|
| Chat reply | 1,500 / 400 | $0.0053 | $52.50 |
| RAG answer over retrieved docs | 8,000 / 600 | $0.017 | $165.00 |
| Coding-agent step | 30,000 / 2,000 | $0.060 | $600.00 |
Gemini 4 Hydrogen vs Similarly Priced Models
Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.
| Model | Input /1M | Output /1M | Context | RAG answer |
|---|---|---|---|---|
| Gemini 4 Hydrogen Google | $1.50 | $7.50 | 1.0M | $0.017 |
| Gemini Omni 1.2 Flash Google | $1.50 | $9.00 | 131K | $0.017 |
| Mistral Medium 3.5 Mistral | $1.50 | $7.50 | 256K | $0.017 |
| Qwen3.6-Max-Preview Alibaba | $1.30 | $7.80 | 262K | $0.015 |
Alternatives to Gemini 4 Hydrogen
Pricing Details
GoogleReleased November 12, 2026; Google pitches it as the upgrade for teams migrating from 3.8 Flash (no 3.8 Flash shutdown date). Model ID gemini-4-hydrogen. Standard $1.50 input / $0.075 cached (95% off) / $7.50 output incl. thinking, flat across the full 1,048,576-token window (no long-context tier). Batch and Flex $0.75 / $0.0375 / $3.75. Priority 1.8x: $2.70 / $0.135 / $13.50. Contributor tier (invite-only) = Batch. Free tier available (no grounding). IMPLICIT CACHING ONLY: no explicit caches, no storage fee. Input/output identical to Gemini 3.8 Flash's from January 1, 2027 (3.8 Flash cached goes to $0.15, double Hydrogen's). Max output 65,536 synchronous; up to ~1M via background long decode. Thinking low / medium / high (default per Google's blog) / xhigh. Knowledge cutoff March 2026 (model card). Text, image, video, audio, PDF in; text out. Search and Maps grounding: 5,000 free/month shared across Gemini 3+, then $14 per 1,000. AI Studio, Gemini API, Antigravity, Gemini app; Vertex AI not mentioned at launch. Artificial Analysis Intelligence Index v5.0.1: low 27 at $0.29/task, medium 41 at $0.80, high 51 at $1.87 (110M output tokens, 179 tok/s, 7.9 min), xhigh 54 at $3.16 (304M output tokens, 4.2x median, 13.7 min). GPT-6.1 Terra max also scores 51, at $0.96 (14.6 min); Sonnet 5.5 high 42 at $1.64; Gemini 3.8 Flash high 31 at $7.77; Argon 50 at $4.97. Estimated tokens (different tokenizer).
Input / 1M tokens
$1.5
Output / 1M tokens
$7.5
Context Window
1.0M
Max Output
66K
Price History
Launched at current price on 2026-11-12. No price changes recorded since.
Frequently Asked Questions
Common questions about Gemini 4 Hydrogen pricing and usage
How much does Gemini 4 Hydrogen cost?
Gemini 4 Hydrogen costs $1.5 per 1 million input tokens and $7.5 per 1 million output tokens. This pricing is set by Google.
What tokenizer does Gemini 4 Hydrogen use?
Gemini 4 Hydrogen uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.
What is Gemini 4 Hydrogen's context window?
Gemini 4 Hydrogen supports a context window of 1.0M tokens (1,048,576 tokens). The maximum output length is 66K tokens.
How does Gemini 4 Hydrogen compare to other models?
On an 8,000-token-in, 600-token-out RAG answer, Gemini 4 Hydrogen costs $0.017 per request. The nearest-priced alternatives cost: Gemini Omni 1.2 Flash (Google) $0.017, Mistral Medium 3.5 (Mistral) $0.017, Qwen3.6-Max-Preview (Alibaba) $0.015. The table above lists their full rates and context windows.
How do I count tokens for Gemini 4 Hydrogen?
Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for Gemini 4 Hydrogen using the cl100k_base tokenizer.