Gemini 4 Hydrogen vs Llama Guard 4 12B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
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...
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $1.50
- Output, $ per 1M tokens
- $7.50
- Cache read, $ per 1M
- $0.075
- Batch (input / output)
- $0.750 / $3.75
- Tool calling
- Yes
- Released
- ▲11/12/2026
- Knowledge cutoff
- 2026-03
- API id
- google/gemini-4-hydrogen
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 164 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.180
- Output, $ per 1M tokens
- ▲$0.180
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- No
- Released
- 04/30/2025
- Knowledge cutoff
- —
- API id
- meta-llama/llama-guard-4-12b
Which is the better API choice: Gemini 4 Hydrogen vs Llama Guard 4 12B?
- Llama Guard 4 12B: cheapest input (88% less than Gemini 4 Hydrogen)
- Llama Guard 4 12B: cheapest output
- Gemini 4 Hydrogen: largest context (1 M)
- Gemini 4 Hydrogen: the newest (11/12/2026)
- Gemini 4 Hydrogen: most reasoning (estimated)
Llama Guard 4 12B costs 88% less on input and 98% less on output than Gemini 4 Hydrogen ($0.180 / $0.180 versus $1.50 / $7.50 per million tokens). Gemini 4 Hydrogen accepts more context (1 M). On capabilities, Gemini 4 Hydrogen has a reasoning mode; only Gemini 4 Hydrogen accepts audio. Gemini 4 Hydrogen offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Llama Guard 4 12B you save $49.08 a month versus Gemini 4 Hydrogen (93% less).
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Llama Guard 4 12B Meta$0.014
- 3Gemini 4 Hydrogen Google$0.114
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Gemini 4 Hydrogen vs Llama Guard 4 12B?
Llama Guard 4 12B costs 88% less on input and 98% less on output than Gemini 4 Hydrogen ($0.180 / $0.180 versus $1.50 / $7.50 per million tokens). Gemini 4 Hydrogen accepts more context (1 M). On capabilities, Gemini 4 Hydrogen has a reasoning mode; only Gemini 4 Hydrogen accepts audio. Gemini 4 Hydrogen offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 4 Hydrogen and Llama Guard 4 12B?
Llama Guard 4 12B is cheaper: $0.180 per million input tokens and $0.180 per million output tokens, versus $1.50 / $7.50 for Gemini 4 Hydrogen.
Which has more context: Gemini 4 Hydrogen and Llama Guard 4 12B?
Gemini 4 Hydrogen accepts 1 M tokens of context; Llama Guard 4 12B accepts 164 K.
Which is newer: Gemini 4 Hydrogen and Llama Guard 4 12B?
Gemini 4 Hydrogen was released on 11/12/2026; Llama Guard 4 12B on 04/30/2025.
What would 10,000 requests a month cost with Gemini 4 Hydrogen and Llama Guard 4 12B?
With 1,500 input and 400 output tokens per request: Gemini 4 Hydrogen: $52.50; Llama Guard 4 12B: $3.42 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.