Google Frontier Available in FlowHunt

Gemini 3.1 Pro

Gemini 3.1 Pro is a top-tier frontier AI model from Google, released in February 2026. It is a proprietary closed-weight model, available through the Gemini app, Google AI Studio, the Gemini API, Google Cloud / Vertex AI, Google Antigravity, Gemini Enterprise, and NotebookLM. It accepts text, images, audio, and video, with a context window of up to 1M tokens.

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Gemini 3.1 Pro was published on February 19, 2026 as the next iteration in the Gemini 3 series, building on Gemini 3 Pro. Google describes it as a natively multimodal reasoning model that can work across text, audio, images, video, and entire code repositories, and reports improved reasoning and multimodal capability over Gemini 3 Pro.

Google positions it for agentic performance, advanced coding, long-context and multimodal understanding, and algorithmic development. As of the model card’s publication, Google called it its most advanced model for complex tasks.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Frontier peers on the same scale
  • Gemini 3.1 Prothis model
  • GPT-6.1 Solthis model leads on 0 of 4
  • Claude Opus 5.5this model leads on 0 of 6
Verified independent evaluator, counted in the ranking Self-reported published by Google, shown but not ranked
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

Gemini 3.1 Pro 29.7 GPT-6.1 Sol 51.8 Claude Opus 5.5 57.6
#29of 45 Verified
Coding

DeepSWE

113 long-horizon software tasks written from scratch, graded by hidden tests.

Source ↗

Gemini 3.1 Pro 11.7% GPT-6.1 Sol No score Claude Opus 5.5 74.2%
#17of 17 Verified

SWE-bench Pro

Real issues across several languages and large codebases.

Source ↗

Gemini 3.1 Pro 54.2% GPT-6.1 Sol No score Claude Opus 5.5 89.9%
Not ranked Self-reported

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗Also: Self-reported 80.6% (single attempt)

Gemini 3.1 Pro 78.8% GPT-6.1 Sol No score Claude Opus 5.5 No score
#13of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

Gemini 3.1 Pro 4.0% GPT-6.1 Sol 56.1% Claude Opus 5.5 59.6%
#25of 36 Verified
Reasoning

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗Also: Self-reported 44.4% (no tools)

Gemini 3.1 Pro 47.0% GPT-6.1 Sol 52.9% Claude Opus 5.5 61.4%
#12of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 95.5% (Vals AI own implementation)Also: Self-reported 94.3% (no tools)

Gemini 3.1 Pro 94.1% GPT-6.1 Sol No score Claude Opus 5.5 No score
#3of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

Gemini 3.1 Pro 77.1% GPT-6.1 Sol 94.2% Claude Opus 5.5 93.3%
#10of 27 Verified

What to Use Gemini 3.1 Pro For

Agentic Workflows

Google lists agentic performance as a core use case. Use it for multi-step tool use, search-driven research, and long-horizon tasks that run with little supervision.

Advanced Coding

It handles complex coding work across entire repositories, from resolving issues to larger multi-file changes.

Algorithmic Development

Google names algorithmic development as an intended use.

Long-Context & Multimodal Understanding

With a 1M-token context window and native text, image, audio, and video input, it can analyze long documents, video, and large code repositories in one prompt.

Strengths and limitations

Strengths

  • Agentic tool use and long-horizon tasks
  • Advanced coding
  • Complex reasoning
  • Natively multimodal input (text, images, audio, video)
  • Very long documents and large codebases (1M context)

Limitations

  • Closed-weight, so it cannot be self-hosted or fine-tuned on private data

Use it in FlowHunt

Use Gemini 3.1 Pro in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick Gemini 3.1 Pro in the model selector

Related AI Models

About Google Mountain View, CA · Founded 1998 · ai.google

Google is a technology company founded in 1998 and headquartered in Mountain View, California. Its Gemini family of models is developed by Google DeepMind, the research lab formed from Google Brain and DeepMind.

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