Gemini 4 Hydrogen vs R1 0528
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
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 164 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.500
- Output, $ per 1M tokens
- ▲$2.15
- Cache read, $ per 1M
- $0.350
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 05/28/2025
- Knowledge cutoff
- —
- API id
- deepseek/deepseek-r1-0528
Which is the better API choice: Gemini 4 Hydrogen vs R1 0528?
- R1 0528: cheapest input (67% less than Gemini 4 Hydrogen)
- R1 0528: cheapest output
- Gemini 4 Hydrogen: largest context (1 M)
- Gemini 4 Hydrogen: the newest (11/12/2026)
- R1 0528: most reasoning (estimated)
- Gemini 4 Hydrogen: the fastest (estimated)
R1 0528 costs 67% less on input and 71% less on output than Gemini 4 Hydrogen ($0.500 / $2.15 versus $1.50 / $7.50 per million tokens). Gemini 4 Hydrogen accepts more context (1 M). On capabilities, Gemini 4 Hydrogen accepts images; 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 R1 0528 you save $36.40 a month versus Gemini 4 Hydrogen (69% 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
- 2R1 0528 DeepSeek$0.038
- 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 R1 0528?
R1 0528 costs 67% less on input and 71% less on output than Gemini 4 Hydrogen ($0.500 / $2.15 versus $1.50 / $7.50 per million tokens). Gemini 4 Hydrogen accepts more context (1 M). On capabilities, Gemini 4 Hydrogen accepts images; 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 R1 0528?
R1 0528 is cheaper: $0.500 per million input tokens and $2.15 per million output tokens, versus $1.50 / $7.50 for Gemini 4 Hydrogen.
Which has more context: Gemini 4 Hydrogen and R1 0528?
Gemini 4 Hydrogen accepts 1 M tokens of context; R1 0528 accepts 164 K.
Which is newer: Gemini 4 Hydrogen and R1 0528?
Gemini 4 Hydrogen was released on 11/12/2026; R1 0528 on 05/28/2025.
What would 10,000 requests a month cost with Gemini 4 Hydrogen and R1 0528?
With 1,500 input and 400 output tokens per request: Gemini 4 Hydrogen: $52.50; R1 0528: $16.10 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.