Rankings / Google DeepMind
Gemini 3.1 Pro Preview
released 2026-02-19
BenchAtlas Index
as of 2026-09-11
base configuration
rank #17
12 families · 5 categories · high
high effort
rank #84
5 families · 4 categories · medium
high effort
rank #176
10 families · 5 categories · high
Benchmark evidence
81 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 44.1 % | independent | LiveBench |
| τ²-Bench | 95.6 % | independent | Artificial Analysis | |
| τ²-Bench subset=banking | 21.4 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | high effort | 76.5 % | independent | LiveBench |
| SciCode | 58.7 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 78.5 % | independent | LiveBench |
external indices
| AA Coding Index | 68.7 points | independent | Artificial Analysis | |
| Intelligence Index v4.1 | 30.4 points | independent | Artificial Analysis | |
| ECI | high effort | 154.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 154.9 points | independent | Epoch AI Benchmarking Hub | |
| ECI | low effort | 154.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | medium effort | 154.9 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | high effort | 41.9 points | independent | Vals AI |
factuality
| MASK contamination=Potential contamination warning: This model was evaluated after the public release of MASK, allowing model builder access to the prompts and solutions. | 42.4 % 41.1–43.7 | independent | Scale Labs | |
| SimpleQA Verified | 77.3 % | independent | Epoch AI Benchmarking Hub 2026-02-19 | |
| SimpleQA Verified | high effort | 73.5 % | independent | Epoch AI Benchmarking Hub 2026-08-10 |
human preference
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1531.1 1522.5–1539.6 | community | LMArena Leaderboard Dataset | |
| Coding (style control)older version arena=text · category=coding · style_control=true | 1521.1 1516.1–1526.0 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1511.8 1507.3–1516.2 | community | LMArena Leaderboard Dataset | |
| Industry Life And Physical And Social Science (style control)older version arena=text · category=industry_life_and_physical_and_social_science · style_control=true | 1511.5 1505.7–1517.2 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1508.6 1501.7–1515.6 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1507.0 1503.1–1510.9 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1505.5 1500.6–1510.4 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1502.5 1494.6–1510.4 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1502.0 1489.7–1514.4 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1500.9 1496.5–1505.2 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1499.4 1492.7–1506.1 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1499.4 1494.8–1503.9 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1496.3 1488.8–1503.8 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1494.5 1488.8–1500.2 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1494.4 1474.9–1513.9 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1494.1 1480.7–1507.5 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1493.7 1478.0–1509.4 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1488.7 1480.0–1497.4 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1488.5 1484.3–1492.8 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1486.7 1483.5–1489.9 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1484.9 1475.9–1493.8 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1480.8 1476.2–1485.5 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1480.3 1468.7–1492.0 | community | LMArena Leaderboard Dataset | |
| Industry Writing And Literature And Language (style control)older version arena=text · category=industry_writing_and_literature_and_language · style_control=true | 1480.1 1474.9–1485.2 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1479.7 1475.8–1483.7 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1479.1 1473.2–1485.0 | community | LMArena Leaderboard Dataset | |
| Industry Business And Management And Financial Operations (style control)older version arena=text · category=industry_business_and_management_and_financial_operations · style_control=true | 1476.7 1471.3–1482.2 | community | LMArena Leaderboard Dataset | |
| Industry Entertainment And Sports And Media (style control)older version arena=text · category=industry_entertainment_and_sports_and_media · style_control=true | 1466.4 1461.0–1471.8 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1460.0 1444.2–1475.9 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=vals-ai | high effort | 95.5 % | independent | Vals AI |
| GPQA Diamond | high effort | 94.4 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
| GPQA Diamond implementation=artificial-analysis | 94.1 % | independent | Artificial Analysis | |
| GPQA Diamond | 94.1 % | independent | Epoch AI Benchmarking Hub 2026-02-20 | |
| Humanity's Last Exam implementation=artificial-analysis | 47.0 % | independent | Artificial Analysis | |
| Humanity's Last Exam contamination=Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. · implementation=scale | high effort | 46.4 % 44.5–48.4 | independent | Scale Labs |
| MMLU-Pro implementation=vals-ai | high effort | 91.0 % | independent | Vals AI |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 85.4 % | independent | LiveBench |
long context instruction
| AA-LCR | 82.0 % | independent | Artificial Analysis | |
| IFBench | 77.1 % | independent | Artificial Analysis | |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 79.1 % | independent | LiveBench |
| MultiChallenge | 71.4 % 69.6–73.1 | independent | Scale Labs |
multimodal
| MMMU implementation=vals-ai | high effort | 88.2 % | independent | Vals AI |
professional
| CaseLaw | high effort | 64.8 % | independent | Vals AI |
| CorpFin | high effort | 64.5 % | independent | Vals AI |
| LegalBench | high effort | 87.4 % | independent | Vals AI |
| MedQA | high effort | 96.4 % | independent | Vals AI |
| TaxEval | high effort | 72.9 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | high effort | 98.1 % | independent | Vals AI |
| ARC-AGI-1older version split=semi_private · model_type=CoT | 98.0 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=CoT | 97.2 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | 88.1 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=CoT | 77.1 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | 1.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=CoT | 1.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | 0.5 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-3older version split=semi_private · model_type=CoT | 0.4 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=CoT | 0.4 usd_per_task | independent | ARC Prize Leaderboard | |
| EnigmaEval | high effort | 36.8 % 34.1–39.5 | independent | Scale Labs |
| EnigmaEval contamination=Potential contamination warning: This model was evaluated after the public release of EnigmaEval, allowing model builder access to the prompts and solutions. | 19.8 % 17.5–22.0 | independent | Scale Labs | |
| FrontierMath | 36.9 % | independent | Epoch AI Benchmarking Hub 2026-02-19 | |
| FrontierMath Tier 4older version | 16.7 % | independent | Epoch AI Benchmarking Hub 2026-02-19 | |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 91.0 % | independent | LiveBench |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 84.0 % | independent | LiveBench |
| OTIS Mock AIME 2024–2025 | 95.6 % | independent | Epoch AI Benchmarking Hub 2026-02-20 | |
| OTIS Mock AIME 2024–2025 | high effort | 95.6 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
Agent + model results
systems, not bare-model scores
| agent + model judy + Gemini 3.1 Pro Preview | Terminal-Bench 2.0 | 80.2 % | unverified | Terminal-Bench Leaderboard |
| agent + model terminus-3-3 + Gemini 3.1 Pro Preview | Terminal-Bench 2.0 | 74.8 % | unverified | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + Gemini 3.1 Pro Preview | Terminal-Bench 2.1 | 73.8 % | independent | Artificial Analysis |
| agent + model gemini-cli + Gemini 3.1 Pro Preview | Terminal-Bench 2.1 | 70.7 % | community | Terminal-Bench Leaderboard |
| agent + model terminus-2 + Gemini 3.1 Pro Preview | Terminal-Bench 2.1 | 70.3 % | community | Terminal-Bench Leaderboard |
| agent + model gemini-cli + Gemini 3.1 Pro Preview | Terminal-Bench 2.0 | 61.4 % | unverified | Terminal-Bench Leaderboard |
| agent + model gemini-cli + Gemini 3.1 Pro Preview | Terminal-Bench 2.0 | 59.4 % | unverified | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + Gemini 3.1 Pro Preview | Terminal-Bench Hard | 53.8 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
