Gemini 3.1 Pro

Gemini 3.1 Pro is Google DeepMind's flagship large language model as of April 2026, notable for treating text, images, audio, and video as native first-class inputs rather than layering vision on top of a text model. It is distributed through the Gemini API, the Gemini chat app, Google AI Studio, Vertex AI on Google Cloud, and integration into Google Workspace and Search. As of April 2026, it holds the third position on the Artificial Analysis Intelligence Index at 57.18, behind GPT-5.5 (60.24) and Claude Opus 4.7 (57.28), with a leading position in vision-specific benchmarks among all publicly evaluated frontier models.

At a glance

• Lab: Google DeepMind
• Released: April 2026
• Modality: Text and multimodal (native image, audio, and video understanding)
• Open weights: No (closed)
• Context window: 2,000,000 tokens (2M)
• Pricing: Per-token pricing through the Gemini API; Gemini app Free, Advanced, and Business tiers
• Distribution channels: Gemini API, Gemini app (web and mobile), Google AI Studio, Vertex AI on Google Cloud, Google Workspace

Origins

DeepMind was founded in 2010 in London by Demis Hassabis, Shane Legg, and Mustafa Suleyman, acquired by Google in 2014, and merged with Google Brain in April 2023 to form Google DeepMind. The Gemini project was the first major product line to emerge from that consolidated organization. Gemini 1.0 launched in December 2023 across three variants: Ultra, Pro, and Nano. Google positioned Gemini 1.0 as a natively multimodal system from the start, designed to process different input types within a unified architecture rather than treating vision as a post-hoc extension.

Gemini 1.5 Pro, released in February 2024, introduced the foundational element that distinguishes the Gemini line from most contemporaries: a very long context window, initially extending to 1 million tokens and later to 2 million tokens in production. The 1.5 generation also introduced a mixture-of-experts architecture that improved efficiency at scale. Gemini 1.5 Flash followed as a faster, more cost-efficient variant intended for high-volume API usage.

The Gemini 2.0 generation launched in February 2025 with Gemini 2.0 Flash as the primary release, emphasizing agentic capabilities, tool use, and real-time interaction. Gemini 2.5 Pro, released in March 2025, marked a more significant capability jump, particularly on coding and reasoning benchmarks. The 2.x generation also introduced Deep Think, an enhanced reasoning mode comparable in approach to OpenAI's o-series.

Gemini 3.0 followed in November 2025, with Gemini 3 Pro as the flagship variant. Gemini 3.1 Pro, the current generation as of April 2026, builds on the Gemini 3 foundation with refinements to reasoning, multimodal comprehension, and agentic performance.

Capabilities

Gemini 3.1 Pro's defining feature is native multimodality. Rather than treating image or audio inputs as converted-to-text representations before processing, Gemini handles multiple input modalities within a shared architecture. In practice, image, audio, and video inputs are processed alongside text in the same context window without separate preprocessing pipelines. This shows up most clearly in video understanding: Gemini 3.1 Pro attends to visual frames and audio tracks together, rather than separately extracting and recombining them.

The 2 million-token context window is the longest among publicly available frontier models as of April 2026. At 2M tokens, the window accommodates full codebases, lengthy document sets, extended conversation histories, and the combined frame-by-frame content of long video. Claude Opus 4.7 offers 200,000 tokens by default (with a 1M option for select customers); GPT-5.5's context length has not been publicly disclosed. Gemini's context length advantage is most actionable for document-intensive workflows and video analysis at scale.

Text capabilities cover the standard range of frontier model tasks: instruction following, question answering, summarization, multi-turn dialogue, and code generation. Gemini 3.1 Pro is competitive with GPT-5.5 and Claude Opus 4.7 on most language tasks, with a consistent relative advantage on vision tasks and a trailing position on some coding benchmarks.

Agentic capabilities have been a focus across the Gemini 2.x and 3.x generations. The model supports tool use, function calling, and structured outputs through the API. Project Astra, Google DeepMind's research program for real-time AI assistants, has informed the design of Gemini's live-interaction and agentic modes. Integration with Google Search gives Gemini 3.1 Pro access to real-time web content as a grounding source for responses. Google Workspace integration embeds Gemini into Gmail, Docs, Sheets, Slides, and Meet, allowing it to operate on user documents and communications without requiring data export to a separate interface.

Benchmarks and standing

As of April 2026, Gemini 3.1 Pro holds third position across most frontier benchmarks, with one notable exception in vision.

On the Artificial Analysis Intelligence Index, which aggregates performance across reasoning, language, and multimodal tasks, Gemini 3.1 Pro scores 57.18. GPT-5.5 leads at 60.24; Claude Opus 4.7 is at 57.28, ten hundredths ahead of Gemini. The gap between second and third place on this composite is narrow.

LMArena ELO scores, based on human preference judgments in head-to-head model comparisons, place Gemini 3.1 Pro at 1289 (general, #3), 1276 (coding, #4), and 1334 (vision, #2). The vision ELO of 1334 is second only to GPT-5.5 among publicly evaluated frontier models, consistent with Gemini's architectural focus on multimodal inputs.

On domain-specific benchmarks: GPQA Diamond, testing graduate-level scientific reasoning, at 89.5% (#3); SWE-bench Verified, the software engineering benchmark testing real repository bug-fixing, at 61.8 (#4); HumanEval+, a function-completion coding benchmark, at 90.5% (#4); ARC-AGI Challenge at 86.2 (#3); AIME 2025 at 91.7% (#3).

Coding is the weakest comparative axis. Gemini 3.1 Pro holds the fourth position on both LMArena coding ELO and SWE-bench Verified. The gap to Claude Opus 4.7, which leads SWE-bench at 74.0, is substantial. For engineering-specific workloads, the coding deficit is a real purchasing consideration.

Vision is the consistent strength. The LMArena vision ELO of 1334 places Gemini 3.1 Pro ahead of Claude Opus 4.7 on human preference judgments in visual tasks, the only category where Gemini holds a higher ELO rank than its closest competitor.

Frontier benchmark standings change with each major model release. The figures above reflect April 2026 data and will shift as labs ship updates.

Access and pricing

Gemini 3.1 Pro is available through several distribution channels.

The Gemini API at https://ai.google.dev provides programmatic access for text and multimodal tasks, tool use, and function calling. Google uses a tiered pricing model based on input and output tokens, with separate rates for text, image, audio, and video inputs. Specific per-token and per-image rates are published on the Google AI pricing page. The API also includes a free tier with usage limits, which is available through Google AI Studio.

Google AI Studio is the developer-facing product for exploring and prototyping with Gemini. It provides a no-code interface for API calls, system prompt testing, and prompt library management. AI Studio accounts are free and include access to Gemini 3.1 Pro within rate limits.

The Gemini app is the consumer-facing product surface, available on web and mobile. The free tier provides access with usage limits; the Gemini Advanced tier ($19.99/month, typically bundled into Google One AI Premium) adds higher usage ceilings, Deep Think reasoning mode, and extended context inputs.

Vertex AI on Google Cloud is the primary enterprise channel, offering managed Gemini deployment with data residency options and compliance configurations. It also hosts Gemma, Google's open-weights model family, providing unified access to both closed and open-weights Google models.

Google Workspace integration is available as part of the Workspace subscription, embedding Gemini into Gmail, Docs, Sheets, Slides, and Meet for direct interaction with user documents and communications.

Comparison

Direct competitors to Gemini 3.1 Pro in the frontier text and multimodal category, as of April 2026:

• GPT-5.5 (OpenAI). The benchmark leader at 60.24 on the Artificial Analysis Intelligence Index, compared to Gemini 3.1 Pro at 57.18. GPT-5.5 leads on most individual benchmarks including GPQA Diamond (94.2% versus 89.5%), ARC-AGI Challenge (92.3 versus 86.2), and AIME 2025 (96.7% versus 91.7%). The strategic dynamic between the two is distribution: GPT-5.5 is the entry point for most ChatGPT users, while Gemini 3.1 Pro reaches users through Google Search, Workspace, and Android. For organizations within the Google Cloud ecosystem, Gemini's integration advantages can outweigh the raw capability gap.
• Claude Opus 4.7 (Anthropic). The second-place model on the Intelligence Index at 57.28, just above Gemini 3.1 Pro's 57.18. Claude Opus 4.7's clearest advantage is on SWE-bench Verified (74.0 versus 61.8), which has made it the preferred model for engineering-intensive enterprise workflows. Gemini leads on LMArena vision ELO (1334 versus 1287). The purchasing choice typically comes down to task profile: coding and engineering workflows tend to favor Claude; document-heavy, multimodal, or video workflows tend to favor Gemini.
• Grok 4.20 (xAI). Real-time access to content from the X platform differentiates Grok 4.20 for tasks requiring current-events grounding. Gemini 3.1 Pro has a comparable real-time grounding capability through its Google Search integration, which covers a broader surface of web content than the X platform alone. On aggregate benchmarks, Grok 4.20 trails Gemini 3.1 Pro across most categories.
• DeepSeek V4 (DeepSeek). An open-weights Chinese frontier model available for self-hosted deployment at near-zero marginal inference cost. DeepSeek V4 benchmarks competitively on the Intelligence Index while offering the option of self-hosted or API-hosted deployment without per-token pricing at commercial scale. For organizations that can operate open-weights models and are not constrained by data-sovereignty requirements, DeepSeek V4 presents a cost argument that Gemini 3.1 Pro's API pricing cannot match. Gemini's advantage is Google's support infrastructure, Workspace integration, and native multimodal capability beyond text.

For broader context on how the competitive frontier is shifting, see The Frontier Lab Exodus.

Outlook

Open questions for the next 6 to 18 months:

• Gemini 4 timeline. The Gemini generation has moved on a roughly six-to-nine-month cadence since 1.0 (December 2023). A Gemini 4 is expected in late 2026 or early 2027; no timeline has been publicly disclosed.
• Veo and Imagen integration. Google's video generation model Veo and image generation model Imagen remain separate products. Whether they are folded into the Gemini interface as native generation capabilities is an open product question. Nano Banana 2, integrated into the Gemini app in February 2026, represents one step in that direction.
• Project Astra and agentic capability. Project Astra is Google DeepMind's research vehicle for real-time AI assistant behavior. How its capabilities are productized within the Gemini app and API, and whether they convert into consumer or enterprise adoption, is the main product-development question in the agentic space.
• Google Search AI Mode. Gemini is integrated into Search through AI Overviews. The transition from static AI-generated summaries to a more conversational AI Mode represents a potential step-change in Gemini's distribution reach.
• Gemini Nano and on-device expansion. Gemini Nano runs on-device on Pixel and Android devices. Expansion to more hardware partners requires no API or subscription access from users, making it a distributional lever distinct from the cloud-based competitive dynamic.
• Closing the coding gap. Gemini 3.1 Pro's fourth-place position on LMArena coding ELO and SWE-bench Verified is the clearest capability gap relative to GPT-5.5 and Claude Opus 4.7. Whether Gemini 4 closes it is a key benchmark to watch for enterprise software buyers.

Sources

• Google: Introducing Gemini 3. Gemini 3 launch announcement, November 2025.
• Google AI Developer site. Gemini API documentation and per-token pricing.
• Gemini app. Consumer product surface for Gemini 3.1 Pro.
• DeepMind: Gemini technology page. Google DeepMind's official overview of the Gemini model family and its multimodal architecture.
• Artificial Analysis Intelligence Index. Composite frontier benchmark scores; Gemini 3.1 Pro at 57.18, April 2026 data.
• LMArena Leaderboard. Head-to-head ELO scores across general, coding, and vision categories.
• Wikipedia: Gemini (language model). History of the Gemini family from 1.0 through the current generation.