Gemini 4 Hydrogen vs GPT-6.1 Terra Pro
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
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$1.00
- Output, $ per 1M tokens
- ▲$5.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.500 / $2.50
- Tool calling
- Yes
- Released
- 10/26/2026
- Knowledge cutoff
- —
- API id
- openai/gpt-6.1-terra-pro
Which is the better API choice: Gemini 4 Hydrogen vs GPT-6.1 Terra Pro?
- GPT-6.1 Terra Pro: cheapest input (33% less than Gemini 4 Hydrogen)
- GPT-6.1 Terra Pro: cheapest output
- GPT-6.1 Terra Pro: largest context (1.1 M)
- Gemini 4 Hydrogen: the newest (11/12/2026)
- GPT-6.1 Terra Pro: most reasoning (estimated)
- Gemini 4 Hydrogen: the fastest (estimated)
GPT-6.1 Terra Pro costs 33% less on input and 33% less on output than Gemini 4 Hydrogen ($1.00 / $5.00 versus $1.50 / $7.50 per million tokens). GPT-6.1 Terra Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Hydrogen accepts audio. Gemini 4 Hydrogen and GPT-6.1 Terra Pro offer 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 GPT-6.1 Terra Pro you save $17.50 a month versus Gemini 4 Hydrogen (33% 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
- 2GPT-6.1 Terra Pro OpenAI$0.076
- 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 GPT-6.1 Terra Pro?
GPT-6.1 Terra Pro costs 33% less on input and 33% less on output than Gemini 4 Hydrogen ($1.00 / $5.00 versus $1.50 / $7.50 per million tokens). GPT-6.1 Terra Pro accepts more context (1.1 M). On capabilities, only Gemini 4 Hydrogen accepts audio. Gemini 4 Hydrogen and GPT-6.1 Terra Pro offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 4 Hydrogen and GPT-6.1 Terra Pro?
GPT-6.1 Terra Pro is cheaper: $1.00 per million input tokens and $5.00 per million output tokens, versus $1.50 / $7.50 for Gemini 4 Hydrogen.
Which has more context: Gemini 4 Hydrogen and GPT-6.1 Terra Pro?
GPT-6.1 Terra Pro accepts 1.1 M tokens of context; Gemini 4 Hydrogen accepts 1 M.
Which is newer: Gemini 4 Hydrogen and GPT-6.1 Terra Pro?
Gemini 4 Hydrogen was released on 11/12/2026; GPT-6.1 Terra Pro on 10/26/2026.
What would 10,000 requests a month cost with Gemini 4 Hydrogen and GPT-6.1 Terra Pro?
With 1,500 input and 400 output tokens per request: Gemini 4 Hydrogen: $52.50; GPT-6.1 Terra Pro: $35.00 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.