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Gemini 4 Hydrogen is Google's Flash-tier Gemini 4 reasoning model,
now available on TokenRa as gemini-4-hydrogen. It runs on the OpenAI Chat
Completions endpoint, thinks before answering, and bills input at $2.50 / 1M
tokens and output at $7.50 / 1M.
One sentence: gemini-4-hydrogen is live on TokenRa and callable right
now on /v1/chat/completions. The table below has everything you need before
writing a single line of integration code.
Prices come from /api/pricing, behavior from a live call made on November 13, 2026. If a number on another site differs, check the pricing page — the gateway is the source of record.
| Attribute | Value | Note |
|---|---|---|
| Model ID | gemini-4-hydrogen |
Exact string for the model field |
| Type | Reasoning text model | Thinks before answering; reasoning in reasoning_details |
| Input price | $2.50 / 1M tokens | model_ratio 1.25 × $2 |
| Output price | $7.50 / 1M tokens | completion_ratio 3; reasoning billed here |
| Cached input | $0.10 / 1M tokens | cache_ratio 0.04 |
finish_reason |
stop |
Lowercase — no special case in your code |
| Function calling | Not supported | Requests with a tools field return 400 |
| Availability | Live | Callable on /v1/chat/completions |
Reasoning tokens appear in
completion_tokens_details.reasoning_tokens. They count toward
max_tokens and are billed at the output rate.
Gemini 4 has been discussed under a set of element codenames, which is why searches mix them up. They are not three tiers of one released product — at the time of writing only some of these exist as published models, and Hydrogen is the one that does not. Treat the codename as a label for a slot in the family, not as a spec sheet.
| Name | What it is reported to be | Published by Google | Callable on TokenRa |
|---|---|---|---|
| Gemini 4 Hydrogen | Flash-tier Gemini 4 reasoning model (codename turned live ID) | Yes | Yes — gemini-4-hydrogen |
| Gemini 4 Argon | Flagship frontier-tier Gemini 4 model | Yes — documented by Google | No |
| Gemini 4 Carbon | A second Gemini 4 tier discussed alongside Argon | Yes — documented by Google | No |
| Gemini 3.8 Flash | Current released Flash-tier Gemini text model | Yes | Yes — gemini-3.8-flash |
Gemini 4 Hydrogen is now callable. Argon and Carbon are not yet enabled on TokenRa; check the model catalog for updates.
gemini-4-hydrogen. That is the exact string to send in the model field. No version suffix, no other alias.max_tokens. The model thinks before answering. If you set a tight limit, leave room for both the thinking and the final answer.completion_tokens_details.reasoning_tokens and are charged at the $7.50 / 1M output rate, not a separate reasoning rate.
Three steps from zero to a working call. The model ID is
gemini-4-hydrogen and the endpoint is the standard OpenAI Chat Completions
one, so any OpenAI-compatible client works with a base-URL swap.
Register, then open the dashboard. Minimum top-up is $10.
Create the key in the console and keep it server-side only.
Send the request below. First call returns reasoning tokens — read the behavior section before you size max_tokens.
curl https://tokenra.io/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemini-4-hydrogen","messages":[{"role":"user","content":"Summarise what an API gateway does in two sentences."}]}'
The same adapter also serves gemini-3.8-flash; see
Gemini 3.8 Flash API docs for the shared
parameter list and limits.
Input $2.50 / 1M · Output $7.50 / 1M · Cached input $0.10 / 1M. Reasoning tokens are billed at the output rate. Live rates for every enabled model are on the pricing page and in the console for your account.
These are the behavior notes that actually matter once your call works. Each one is from a live request made on November 13, 2026, not from a spec sheet.
reasoning_details[0] with format: "google-gemini-v1". A second reasoning.encrypted entry is Google's opaque thinking payload — you cannot read it, and you should not log or store it.max_tokens. A call that returns 40 completion_tokens can have 35 of them as reasoning_tokens. If you set a tight max_tokens, the model may run out of budget before it writes the final answer and return an empty content. Leave headroom.finish_reason: stop (lowercase). The gateway normalizes it to the OpenAI standard, so you do not need a special case for an uppercase STOP.tools field return 400. Send plain text prompts only.gemini-4-hydrogen. That is the exact string to put in the model field. No version suffix, no alias.
Input $2.50 / 1M tokens, output $7.50 / 1M tokens, cached input $0.10 / 1M tokens. Reasoning tokens are billed at the output rate. Live rates are on the pricing page.
Yes. Reasoning text comes back in reasoning_details[0] (format google-gemini-v1), and completion_tokens_details.reasoning_tokens tells you how many of your output tokens were thinking.
finish_reason does it return?stop, lowercase. The gateway normalizes it to the OpenAI standard; no special case for an uppercase STOP needed.
No. Requests with a tools field return 400. Send plain text prompts only.
max_tokens was probably too small. Reasoning tokens count toward that budget. Raise the limit or remove it entirely and let the model answer fully.
No. The page was upgraded in place on November 13, 2026: the status flipped from unconfirmed to live and real pricing and tested code replaced the earlier guidance. The URL has not changed and will not change.
Status checked November 13, 2026. TokenRa is an API gateway and is not affiliated with Google. Model names belong to their owners. Prices are gateway rates and are subject to change; the pricing page is the source of record.