# Gemini 3 Pro Benchmark Scores & Performance

> Gemini 3 Pro by Google scores 61.18/100 overall, ranking #52 out of 954 AI models.

Canonical page: https://benchlm.ai/models/gemini-3-pro

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Google |
| Source Type | Proprietary |
| Reasoning Type | Non-Reasoning |
| Context Window | 2M |
| Overall Score | 61.18/100 |
| Overall Rank | #52 of 954 |

## Family & Coverage

- Family: Gemini 3 Pro
- Variant: base
- Benchmarks covered: 41 of 639
- Sibling models: [Gemini 3 Pro Deep Think](/models/gemini-3-pro-deep-think)
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [τ²-bench results](/benchmarks/tau2-bench) | 87.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [Gert Labs](/benchmarks/gertlabs) | 63.23% | [Gert Labs rankings](https://gertlabs.com/rankings) |
| [JobBench](/benchmarks/jobbench) | 11.4% | [JobBench paper](https://arxiv.org/abs/2605.26329) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Vibe Code Bench](/benchmarks/vibecodebench) | 14.30% | [Vals AI: Vibe Code Bench v1.1](https://www.vals.ai/benchmarks/vibe-code) |
| [AA LiveCodeBench](/benchmarks/aalivecodebench) | 91.7% | [Artificial Analysis: livecodebench leaderboard](https://artificialanalysis.ai/evaluations/livecodebench) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [MMMU](/benchmarks/mmmu) | 87.2% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MMMU-Pro](/benchmarks/mmmu-pro) | 81% | [Google: Gemini 3](https://blog.google/products-and-platforms/products/gemini/gemini-3/) |
| [RealWorldQA](/benchmarks/realworldqa) | 83.3% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [OmniDocBench 1.5](/benchmarks/omnidocbench15) | 88.5% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [Video-MME (with subtitle)](/benchmarks/videommewithsub) | 88.4% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [Video-MME (w/o subtitle)](/benchmarks/videommenosub) | 87.7% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MathVision](/benchmarks/mathvision) | 86.6% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [We-Math](/benchmarks/wemath) | 86.9% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [DynaMath](/benchmarks/dynamath) | 85.1% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [SimpleVQA](/benchmarks/simplevqa) | 73.2% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MMLongBench-Doc](/benchmarks/mmlongbenchdoc) | 60.5% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [CC-OCR](/benchmarks/ccocr) | 79.0% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [AI2D_TEST](/benchmarks/ai2dtest) | 94.1% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [CountBench](/benchmarks/countbench) | 97.3% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [RefCOCO (avg)](/benchmarks/refcocoavg) | 84.1% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [ODINW13](/benchmarks/odinw13) | 46.3% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [ERQA](/benchmarks/erqa) | 70.5% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [VideoMMMU](/benchmarks/videommmu) | 87.6% | [Google: Gemini 3](https://blog.google/products-and-platforms/products/gemini/gemini-3/) |
| [MLVU (M-Avg)](/benchmarks/mlvuavg) | 83.0% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [ScreenSpot Pro](/benchmarks/screenspot-pro) | 72.7% | [Google DeepMind: Gemini Flash](https://deepmind.google/models/gemini/flash/) |
| [CharXiv](/benchmarks/charxiv) | 81.4% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [V*](/benchmarks/vstar) | 88.0% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [AA-MMMU-Pro](/benchmarks/mmmu-pro) | 80.2% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [ARC-AGI-2](/benchmarks/arc-agi-2) | 31.1% | [Google DeepMind: Gemini Pro](https://deepmind.google/models/gemini/pro/) |
| [AA-LCR](/benchmarks/lcr) | 76.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [CritPt](/benchmarks/critpt) | 9.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [ARC-AGI-1](/benchmarks/arcagi1) | 75.00% | [ARC Prize: Gemini 3 Pro verified results](https://arcprize.org/leaderboard) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 28.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 90.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA-HLE](/benchmarks/aahle) | 39.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 15.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 55.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 91.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |
| [AA MMLU-Pro](/benchmarks/mmlu-pro) | 89.8% | [Artificial Analysis: mmlu-pro leaderboard](https://artificialanalysis.ai/evaluations/mmlu-pro) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-IFBench](/benchmarks/ifbench) | 70.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gemini-3-pro) |

## Multilingual Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA Global-MMLU-Lite](/benchmarks/aaglobalmmlulite) | 92.2% | [Artificial Analysis: global-mmlu-lite leaderboard](https://artificialanalysis.ai/evaluations/global-mmlu-lite) |

## Other Google Models

- [Gemini 4 Argon](/models/gemini-4-argon) - Score: 80.97
- [Gemini 3.8 Flash](/models/gemini-3-8-flash) - Score: 69.25
- [Gemini 3.7 Flash](/models/gemini-3-7-flash) - Score: 66.84
- [Gemini 3.1 Pro](/models/gemini-3-1-pro) - Score: 64.7
- [Gemini 3.6 Flash](/models/gemini-3-6-flash) - Score: 62.78
- [Gemini 3.5 Flash](/models/gemini-3-5-flash) - Score: 61.88
- [Gemini 3 Flash](/models/gemini-3-flash) - Score: 54.28
- [Gemini 3.5 Flash-Lite](/models/gemini-3-5-flash-lite) - Score: 49.62
- [Gemini 2.5 Pro](/models/gemini-2-5-pro) - Score: 49.14
- [Gemini 3.1 Flash-Lite](/models/gemini-3-1-flash-lite) - Score: 46.96
- [Gemma 4 26B A4B](/models/gemma-4-26b-a4b) - Score: 45.65
- [Gemini 2.5 Flash](/models/gemini-2-5-flash) - Score: 42.15
- [Gemma 4 31B](/models/gemma-4-31b) - Score: 39.89
- [Gemma 4 12B](/models/gemma-4-12b) - Score: 36.35
- [Gemma 4 E4B](/models/gemma-4-e4b) - Score: 31.02
- [Gemma 4 E2B](/models/gemma-4-e2b) - Score: 29.94
- [Gemma 3 27B](/models/gemma-3-27b) - Score: 28.69
- [Gemini 1.5 Pro](/models/gemini-1-5-pro) - Score: 27.77
- [Gemini 1.0 Pro](/models/gemini-1-0-pro) - Score: 11.65
- [Gemini 3 Pro Deep Think](/models/gemini-3-pro-deep-think) - Score: not computed
- [Gemini 2.0 Flash](/models/gemini-2-0-flash) - Score: not computed
- [Gemini 2.0 Flash-Lite](/models/gemini-2-0-flash-lite) - Score: not computed
- [Gemini 2.5 Flash-Lite](/models/gemini-2-5-flash-lite) - Score: not computed
- [Gemini 1.5 Flash](/models/gemini-1-5-flash) - Score: not computed
- [Gemma 2 27B](/models/gemma-2-27b) - Score: not computed
- [EmbeddingGemma 2](/models/embeddinggemma-2) - Score: not computed
- [Gemini 3.8 Flash TTS](/models/gemini-3-8-flash-tts) - Score: not computed
- [Gemini 3.8 Flash-Lite TTS](/models/gemini-3-8-flash-lite-tts) - Score: not computed
- [Gemini 3.8 Live](/models/gemini-3-8-live) - Score: not computed
- [Gemini 3.8 Live Extended Thinking](/models/gemini-3-8-live-extended-thinking) - Score: not computed
- [Gemini 3.8 Flash Cyber](/models/gemini-3-8-flash-cyber) - Score: not computed
- [Gemini 3.5 Transcribe](/models/gemini-3-5-transcribe) - Score: not computed
- [Gemini 3.5 Flash Cyber](/models/gemini-3-5-flash-cyber) - Score: not computed
- [Gemini 3.1 Flash TTS Preview](/models/gemini-3-1-flash-tts-preview) - Score: not computed
- [Gemini 3.1 Flash Live Preview](/models/gemini-3-1-flash-live-preview) - Score: not computed
- [Gemini 2.5 Flash Native Audio Preview (12-2025)](/models/gemini-2-5-flash-native-audio-preview-12-2025) - Score: not computed
- [Gemini 2.5 Flash TTS Preview](/models/gemini-2-5-flash-tts-preview) - Score: not computed
- [Gemini 2.5 Pro TTS Preview](/models/gemini-2-5-pro-tts-preview) - Score: not computed