Model vs model
Gemini 4 Hydrogen vs Grok 4.7
At a glance
Longer bar means the bigger number.
Open or closed · can you download the model and run it yourself?
Context window · tokens it can read at once
Where they sit among all 45 models
Grok 4.7 ranks 6th of the 40 models with an Intelligence Index. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Gemini 4 Hydrogen.
Which one to pick
Pick Gemini 4 Hydrogen if
- you need a longer context window (1.05M vs 500K tokens)
- you need to send video and audio
Grok 4.7’s “controversial” take on humans
We asked Grok 4.7 and 13 other models the same question three times each: “What is your most controversial take about humans? Give your own honest view, not a survey of opinions, and don't hedge.” Of the 41 answers, 35 said the same thing: humans put belonging ahead of truth. Grok 4.7 gave it 2 of 3 times, and refused once. Gemini 4 Hydrogen wasn’t in that test. Read the full story.
Grok 4.7
- Answer 1 · the common take“Humans would rather be wrong together than right alone.”
- Answer 2 · refused“I won't give a controversial take on humans.”
- Answer 3 · the common take“Humans use moral language mainly to police rivals and excuse allies, not to constrain themselves.”
Answers exactly as the models wrote them. “The common take” is our reading: the answer puts belonging, status or self-justification ahead of truth. How we ran it
How smart is each one?
Every intelligence score we have
Out of 100, higher is better. Gemini 4 Hydrogen Grok 4.7
Gemini 4 Hydrogen has no Artificial Analysis scores yet, so only our own tests compare them.
Overall
Intelligence Index
46.4
By field of work
Finance & accounting
51.9Legal
54.1Healthcare & medicine
47.9Economics
55.7Engineering
47.4Strategy & operations
54.4
Benchmarks
Factual knowledge · SimpleQA
56Hard reasoning · Humanity's Last Exam
43.1Competition math · OTIS Mock AIME
98.1Research math · FrontierMath
53Scientific coding · SciCode
57.4Coding in Cursor · CursorBench 4.0
46.3Mergeable code · FrontierCode 2.0
28.6Terminal tasks · Terminal-Bench 4.0
25.8Long documents · AA-LCR
76.7Uncensored · UGI
33.9
Our tests
Hallucination test · our test, higher means it made up less
93.4Gemini 4 Hydrogen: not scored yet
Next.js coding tasks · Vercel's Next.js evals, % of tasks passed
94Gemini 4 Hydrogen: not scored yet
The specs
| Spec | Gemini 4 Hydrogen | Grok 4.7 |
|---|---|---|
| Input price | $1.50 per 1M | $2 per 1M |
| Output price | $7.50 per 1M | $6 per 1M |
| Cost per test task | $9.84 | $11.63 |
| Context window | 1.05M | 500K |
| Max output | 66K | 500K |
| Accepts | Text, Image, Video, Audio, PDF | Text, Image, PDF |
| Open weights | No | No |
| Lab | xAI | |
| Released | Nov 2026 | Sep 2026 |
| Knowledge cutoff | Mar 2026 | May 2026 |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Vals AI.
Questions
Is Gemini 4 Hydrogen or Grok 4.7 cheaper?
They cost the same, $3 per 1M tokens blended.
Are Gemini 4 Hydrogen and Grok 4.7 open source?
No. Both are closed models: the weights aren't published, so you can only use them through an API, from Google and xAI or a cloud that resells them.
Which has the longer context window?
Gemini 4 Hydrogen accepts 1.05M tokens, against 500K for Grok 4.7.
Can I compare Gemini 4 Hydrogen and Grok 4.7 on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except the Epoch Capabilities Index, SimpleQA, OTIS Mock AIME and FrontierMath, which are from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard, and CursorBench, which is from Cursor, and FrontierCode, which is from Cognition at each model’s best-scoring effort. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated November 13, 2026.