Gemini 3.1 Pro Benchmarks: A Full Breakdown
A complete breakdown of Gemini 3.1 Pro benchmark scores across web search, multilingual knowledge, reasoning, and coding. See where Google DeepMind's flagship leads.
Gemini 3.1 Pro is Google DeepMind's current flagship model and a strong competitor across several benchmark categories. It leads the field on web search, multilingual knowledge, and graduate-level reasoning while offering competitive coding and agentic performance. This post walks through every major score and explains what they mean for choosing a model.
All scores can be verified in the live benchmark comparison. For background on how benchmarks are designed and scored, read the complete guide to LLM benchmarks.
Web research: leading on BrowseComp
BrowseComp tests a model's ability to answer hard research questions that require navigating the web — finding obscure facts, cross-referencing sources, and synthesizing information across pages. Gemini 3.1 Pro scores 85.9%, the highest among the three flagship shipping models. Claude Opus 4.8 scores 84.3% and GPT-5.5 scores 84.4%.
The gap is small — less than 2 points — but Gemini 3.1 Pro's consistent top placement on web research reflects its deep integration with Google's search infrastructure. For applications that depend heavily on real-time web retrieval, Gemini 3.1 Pro has a modest but real edge.
Multilingual knowledge: a standout MMMLU score
MMMLU evaluates broad world knowledge and language understanding across multiple languages and domains. Gemini 3.1 Pro scores 92.6% — the highest reported score on this benchmark, above Opus 4.7's 91.5% and GPT-5.5's 83.2%. Claude Opus 4.8 and Mythos Preview are not reported on this benchmark.
A 9.4-point lead over GPT-5.5 on MMMLU is striking. For multilingual applications, global knowledge retrieval, or tasks that require broad factual coverage across languages and regions, Gemini 3.1 Pro is the clear leader among models with reported scores.
Graduate-level reasoning: narrow lead on GPQA Diamond
On GPQA Diamond, which tests graduate-level science reasoning in biology, chemistry, and physics, Gemini 3.1 Pro scores 94.3%. That places it just above Claude Opus 4.8 and GPT-5.5 (both at 93.6%) and just below Mythos Preview's 94.6%. The entire field is clustered within 1.1 points — GPQA Diamond is no longer meaningfully separating the top-tier models.
On Humanity's Last Exam, the harder frontier reasoning benchmark, Gemini 3.1 Pro scores 44.4% without tools and 51.4% with tools. Opus 4.8 scores 49.8% / 57.9%, a consistent lead of roughly 5–6 points. For the hardest reasoning tasks, Opus 4.8 has an edge. Read the best LLM for reasoning for a full breakdown.
Coding and agentic performance
On SWE-bench Pro, Gemini 3.1 Pro scores 54.2% — behind both Opus 4.8 (69.2%) and GPT-5.5 (58.6%) by significant margins. On SWE-bench Verified, it scores 80.6%, also behind Opus 4.8 (88.6%) and GPT-5.5 (88.7%) by roughly 8 points.
For direct head-to-head results against Anthropic's model, see the Claude Opus 4.8 vs Gemini 3.1 Pro comparison. Coding is not Gemini 3.1 Pro's strongest suit relative to competitors — teams with heavy agentic coding workloads should weigh this carefully.
Tool use and computer use
On MCP-Atlas (structured tool-calling), Gemini 3.1 Pro scores 78.2% — between Opus 4.8's 82.2% and GPT-5.5's 75.3%. It is a solid mid-table result. On OSWorld-Verified (GUI computer use), Gemini 3.1 Pro scores 76.2%, trailing Opus 4.8 (83.4%), GPT-5.5 (78.7%), and Mythos Preview (79.6%).
On Terminal-Bench 2.1, Gemini 3.1 Pro scores 70.3% — behind GPT-5.5 (78.2%) and Opus 4.8 (74.6%). Terminal automation is an area where Gemini 3.1 Pro trails its competitors.
Key takeaways
- Leads on web research: 85.9% on BrowseComp is the highest score among shipping flagship models.
- Dominant multilingual knowledge: 92.6% on MMMLU, 9.4 points ahead of GPT-5.5 and above Opus 4.7.
- Narrow lead on GPQA Diamond: 94.3% is competitive but the whole field is within 1.1 points — this benchmark no longer separates top models.
- Trails on agentic coding: SWE-bench Pro (54.2%) and SWE-bench Verified (80.6%) lag behind Opus 4.8 and GPT-5.5 by meaningful margins.
- Mid-table on tool use and computer use: Solid but not leading on MCP-Atlas, OSWorld-Verified, or Terminal-Bench.
- Browse the full profile on the Gemini 3.1 Pro hub page or explore all scores in the live benchmark comparison table.
