Gemini 3 Pro
Made by Google DeepMind. Epoch AI does not state how it can be accessed. Appears strongest at writing among the models listed here.
In short
What it does well
- Writing: Top tier (12th of 77 listed models)
Where it falls short
- Coding: Middle (44th of 77 listed models)
What we don't know yet
- Hard maths problems: Not enough data
- School-competition maths: Not enough data
- Graduate-level science questions: Not enough data
- Short factual questions: Not enough data
- Fixing real software bugs: Not enough data
- Difficult coding tasks: Not enough data
The four ratings
- Top tier
- Strong
- Middle
- Behind the leaders
- Not enough data
Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.
- Writing
- Top tierHow often people preferred its answers to writing prompts. 1,482 on Arena's scale · Source for Gemini 3 Pro writing score (lmarena)
- Coding
- MiddleHow often people preferred its answers to coding questions. 1,481 on Arena's scale · Source for Gemini 3 Pro coding score (lmarena)
- Maths
- Not enough dataNo result yet for hard maths problems.
- Knowledge
- Not enough dataNo result yet for short factual questions.
Evidence completeness: Partial evidence, 7 of 13 tests have a result.
Where it is relatively stronger or weaker
This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.
Relatively stronger
- German: 2nd of 55 on questions asked in German, against 18th of 77 overall. Source for German
Relatively weaker
- Expert-level prompts: 45th of 77 on prompts that need expert knowledge, against 18th of 77 overall. Source for Expert-level prompts
- Software and IT: 36th of 77 on software and IT questions, against 18th of 77 overall. Source for Software and IT
- Hard prompts: 34th of 77 on prompts Arena classes as hard, against 18th of 77 overall. Source for Hard prompts
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 45th of 77 | 1,475 95% range 1,464 to 1,486 | 2,828 | Source for Expert-level prompts |
| Hard prompts Kind of request | 34th of 77 | 1,480 95% range 1,475 to 1,485 | 23,177 | Source for Hard prompts |
| Long prompts Kind of request | 33rd of 77 | 1,471 95% range 1,465 to 1,477 | 11,156 | Source for Long prompts |
| Longer conversations Kind of request | 16th of 77 | 1,484 95% range 1,476 to 1,492 | 6,855 | Source for Longer conversations |
| Chinese Language | 25th of 76 | 1,523 95% range 1,513 to 1,534 | 3,456 | Source for Chinese |
| English prompts Language | 23rd of 77 | 1,478 95% range 1,472 to 1,483 | 16,953 | Source for English prompts |
| French Language | 19th of 72 | 1,493 95% range 1,473 to 1,512 | 968 | Source for French |
| German Language | 2nd of 55 | 1,516 95% range 1,494 to 1,538 | 812 | Source for German |
| Japanese Language | 4th of 54 | 1,509 95% range 1,480 to 1,539 | 476 | Source for Japanese |
| Korean Language | 15th of 54 | 1,448 95% range 1,426 to 1,471 | 723 | Source for Korean |
| Non-English prompts Language | 16th of 77 | 1,474 95% range 1,470 to 1,479 | 25,101 | Source for Non-English prompts |
| Russian Language | 14th of 77 | 1,492 95% range 1,484 to 1,501 | 5,072 | Source for Russian |
| Spanish Language | 23rd of 70 | 1,470 95% range 1,452 to 1,487 | 1,227 | Source for Spanish |
| Entertainment, sport and media Topic | 14th of 77 | 1,465 95% range 1,457 to 1,472 | 7,909 | Source for Entertainment, sport and media |
| Law and government Topic | 15th of 76 | 1,492 95% range 1,481 to 1,503 | 3,031 | Source for Law and government |
| Medicine and health Topic | 14th of 75 | 1,492 95% range 1,480 to 1,503 | 2,663 | Source for Medicine and health |
| Science Topic | 24th of 77 | 1,485 95% range 1,477 to 1,493 | 6,963 | Source for Science |
| Software and IT Topic | 36th of 77 | 1,485 95% range 1,480 to 1,491 | 14,390 | Source for Software and IT |
Bias: what we can and can't see
Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.
Best-supported use cases
- Homework and maths: not ranked, because there is not enough data for the main test.
- Research and checking facts: not ranked, because there is not enough data for the main test.
Where an alternative might be more suitable
- Coding and building things: rated Middle on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Homework and maths: no result on hard maths problems, so we cannot say. See which models the evidence does support.
- Business emails and everyday work: rated Strong on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
- Research and checking facts: no result on short factual questions, so we cannot say. See which models the evidence does support.
What it is
- Maker
- Google DeepMind
- Access, as listed by Epoch AI
- Not stated
- Licence, as listed by Arena
- Proprietary
- Last observation in our data
- 28 Oct 2026
- Data last changed
- 29 Oct 2026, 14:36 UTC
We have not verified an official product page for this model, so we do not link to one.
How you can use it
Proprietary. The model's files are not published, so it is generally available only through its maker or partners the maker chooses.
How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. See models, apps and harnesses and how AI pricing works.
Price
Price not independently verified
See Gemini plans and pricing (checked 28 Oct 2026). Page opened and read.
We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.
Good to remember
- Benchmarks are samples of tasks. None proves performance in every situation.
- Arena scores come from people choosing between answers. That measures preference, not correctness.
- Ratings are relative to the 77 models listed here. A different set would change them.
- Sources test models at different settings. Each result shows the setting used, and we do not adjust it.
The evidence, for the curious
Show all 13 tests with settings and sources
| Test | Result | Rating | Setting used | Source identifier | Observed | Links |
|---|---|---|---|---|---|---|
| Arena text: overall preference Arena 'text' leaderboard (Bradley-Terry rating, no style control) |
1,479 Arena score 95% range 1,476 to 1,483, 42,057 votes |
Top tier | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,482 Arena score 95% range 1,474 to 1,490, 6,544 votes |
Top tier | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,481 Arena score 95% range 1,474 to 1,488, 8,805 votes |
Middle | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,476 Arena score 95% range 1,465 to 1,487, 2,770 votes |
Strong | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,458 Arena score 95% range 1,452 to 1,464, 11,695 votes |
Strong | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,458 Arena score 95% range 1,451 to 1,465, 7,736 votes |
Strong | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · text/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps Arena 'webdev' leaderboard (Code Arena), category overall |
1,440 Arena score 95% range 1,432 to 1,448, 14,054 votes |
Behind the leaders | effort: not stated, bradley-terry rating | Gemini 3 Pro lmarena · webdev/latest |
28 Oct 2026 | Source for Gemini 3 Pro Arena WebDev: building web apps score (lmarena) |
| FrontierMath Tiers 1-3 (v2) | Not enough data | |||||
| OTIS Mock AIME 2024-2025 | Not enough data | |||||
| GPQA Diamond | Not enough data | |||||
| SimpleQA Verified | Not enough data | |||||
| SWE-bench Verified (Epoch runs) | Not enough data | |||||
| FrontierCode (reported by Cognition) | Not enough data | |||||
Missing evidence
Not enough data for these tests:
- FrontierMath Tiers 1-3 (v2)
- OTIS Mock AIME 2024-2025
- GPQA Diamond
- SimpleQA Verified
- SWE-bench Verified (Epoch runs)
- FrontierCode (reported by Cognition)
Missing results are not low scores and do not count against the model.
Where a source gives no public run log, we cannot show the run behind the score. See data sources.
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