GoogleProprietaryReasoningMultimodalVision

Gemini 3.1 Pro

Google’s Pro-class Gemini for native multimodal and long-context work (current pin: gemini-3.1-pro-preview). Gemini 4 Argon is a separate public id.

Google’s Pro-class Gemini for hard reasoning and native multimodal work. Prefer API id gemini-3.1-pro-preview; Gemini 3.5 Pro remains partner-testing. This slug is not Gemini 4 Argon (gemini-4-argon, public 2026-10-13). On the Gemini API, gemini-2.5-pro has no announced shutdown date and is not deprecated; access is limited to projects that have already used it.

Why Gemini 3.1 Pro matters

Gemini 3.1 Pro remains the scored Pro-class escalate when natively multimodal inputs and very long context matter and Argon is not the pin you want. Flash (3.8) handles volume agents. Gemini 4 Argon (gemini-4-argon, 2026-10-13) is the newer public flagship and is not this slug. On the Gemini API, gemini-2.5-pro has no announced shutdown date; access is limited to projects that have already used it. Gemini 3.8 Live (2026-09-15) is a separate Live API voice SKU; Live Avatar (2026-09-24) adds video in Gemini Enterprise. Gemini 3.8 Flash TTS (2026-09-23) is speech generation, not Pro chat. Gemini 3.5 Pro is still rolling out — verify project access.

Vision · Audio input · Tool calling · Thinking · Coding

Last reviewed: 14 October 2026

Official pricing →

When to choose Gemini 3.1 Pro

Decision guidance for architects—not a feature list.

Best for

  • Native multimodal workloads
  • Very long context analysis
  • Google Cloud / Vertex stacks
  • Research and synthesis over mixed media

Avoid if

  • You are standardized only on OpenAI or Anthropic SDKs
  • Open weights or fully air-gapped serving are required

Strengths

DataAIHub qualitative scores from 1 to 5, for architects. Not official benchmark results or a public ranking.

  • Multimodal nativeness★★★★★
  • Long context★★★★★
  • Google Cloud fit★★★★★
  • Open ecosystem lock-in risk★★☆☆☆
  • Open weights★☆☆☆☆

Ecosystem

Built by

  • Google

    Gemini Pro is Google’s flagship multimodal foundation model class.

Competes with

  • GPT-5

    Competes on frontier multimodal capability and developer APIs.

  • Claude Opus

    Rival for long-context analysis and enterprise assistant workloads.

Works with

  • LangChain

    Common orchestration layer in front of Gemini APIs.

Recommended for

Often paired with

  • Gemini 4 Argon

    Argon (gemini-4-argon, 2026-10-13) is the newer public flagship. This slug stays Gemini 3.1 Pro.

How Gemini 3.1 Pro evolved

Key moments in chronological order.

  1. Product

    gemini-2.5-pro has no Gemini API shutdown date

    As of 2026-10-14, Google’s Gemini API deprecations page lists gemini-2.5-pro (released 2025-06-17) with no shutdown date. It is not deprecated. Access is limited to projects that have already used it, and the endpoint stays up until further notice. New projects should use gemini-3.5-flash-lite or gemini-3.8-flash.

  2. Model

    Gemini 4 Argon public API

    Google opens Gemini 4 Argon on API id gemini-4-argon. It is a separate model from this Gemini 3.1 Pro slug. Standard price is $2/$10 per 1M tokens through 2026-11-30, then $4/$20 from 2026-12-01. gemini-3.8-flash remains the lower-priced workhorse.

  3. Product

    Gemini 3.8 Live Avatar

    Live Avatar adds lip-synced video to Gemini 3.8 Live in Gemini Enterprise. Custom avatars are allowlisted. It is a feature of the Live dialogue models, not a new Flash or Pro chat SKU. The announcement did not publish a separate API id or price.

  4. Model

    Gemini 3.8 Flash TTS

    Gemini 3.8 Flash TTS and Flash-Lite TTS are speech-generation models on the Gemini API and Google AI Studio. Flash TTS is for voice design; Flash-Lite TTS is the high-volume tier, with enterprise API described as coming soon. Not a replacement for gemini-3.8-flash. Confirm live model IDs in Google docs before pinning.

  5. Model

    Gemini 3.8 Live

    Live API speech-to-speech SKUs gemini-3.8-live and gemini-3.8-live-extended-thinking for real-time voice agents. Not a Flash/Pro chat replacement; pin Live IDs separately.

  6. Model

    Gemini 3.8 Flash GA

    Current Flash workhorse (gemini-3.8-flash) for long-horizon coding and agents; same intro $0.75/$3.75 per 1M tokens through 2026-12-31. 3.8 Flash Cyber is Fairwind-only.

  7. Model

    Gemini 3.5 Transcribe public preview

    Dedicated speech-to-text models (gemini-3.5-transcribe and gemini-3.5-transcribe-live) succeed Chirp for recorded and streaming transcription in Gemini API preview.

  8. Model

    Gemini 3.7 Flash GA

    Prior Flash workhorse (gemini-3.7-flash) for coding and agents; intro $0.75/$3.75 per 1M tokens through 2026-12-31. Succeeded as the default workhorse by 3.8 Flash; 3.7 remains supported.

  9. Model

    Gemini 3.6 Flash GA

    Flash workhorse for agentic/coding/volume; Google confirms 3.5 Pro still testing with partners.

  10. Model

    Gemini 3.1 Pro Preview

    Current Pro-class pin (gemini-3.1-pro-preview) for hard multimodal reasoning while 3.5 Pro remains in partner testing.

  11. Model

    Gemini 2.5 Pro class (legacy)

    Earlier Pro-class Gemini for advanced reasoning and native multimodal workloads.

  12. Product

    Long-context Gemini push

    Million-token-class context becomes a Gemini product differentiator.

  13. Model

    Gemini 1.5 era

    Native multimodal + long context establishes Gemini’s modern identity.

  14. Model

    Gemini family launches

    Google’s unified multimodal foundation-model brand debuts.

  15. Leadership

    Google Brain × DeepMind

    Research and model product organizations consolidate under one AI org.

Overview

Google’s Pro-class Gemini for hard reasoning and native multimodal work. Prefer API id gemini-3.1-pro-preview; Gemini 3.5 Pro remains partner-testing. This slug is not Gemini 4 Argon (gemini-4-argon, public 2026-10-13). On the Gemini API, gemini-2.5-pro has no announced shutdown date and is not deprecated; access is limited to projects that have already used it.

Capabilities

  • Vision: Yes
  • Audio input: Yes
  • Tool calling: Yes
  • Thinking: Yes
  • MCP: No
  • Coding: Yes
  • Structured output: Yes

Technical specifications

Provider
Google
License
Proprietary
Context window
1.0M
Parameters
Undisclosed
Release
2026-02
Modalities
Text, Image, Audio, Video
Vision
Yes
Audio input
Yes
Tool calling
Yes
Thinking
Yes
MCP
No
Open weights
No
API
Yes
Pricing (input)
~$2 / 1M tokens (<200K); ~$4 at ≥200K (3.1 Pro preview)
Pricing (output)
~$12 / 1M tokens (<200K); ~$18 at ≥200K

Supported modalities

Text · Image · Audio · Video

Context window

1.0M (1,048,576 tokens)

Pricing

Input: ~$2 / 1M tokens (<200K); ~$4 at ≥200K (3.1 Pro preview)
Output: ~$12 / 1M tokens (<200K); ~$18 at ≥200K

Verify Google AI / Vertex pricing; Flash tiers are cheaper for volume.

Availability

API: Yes
Chat UI: Yes
Open weights: No

Pin gemini-3.1-pro-preview (and -customtools when needed). Gemini 3.5 Pro not broadly GA as of 2026-08. Gemini API deprecations list gemini-2.5-pro with no shutdown date; it is not deprecated, and access is limited to projects that have already used it. New projects should use gemini-3.8-flash or gemini-3.5-flash-lite. Gemini 4 Argon is the separate public id gemini-4-argon (2026-10-13). Gemini 3.5 Transcribe (gemini-3.5-transcribe / -live) is a separate speech-to-text preview as of 2026-08-26. Gemini 3.8 Live (gemini-3.8-live / gemini-3.8-live-extended-thinking, 2026-09-15) is a Live API voice SKU, not a Pro/Flash chat default. Live Avatar (2026-09-24) adds lip-synced video to 3.8 Live in Gemini Enterprise. Gemini 3.8 Flash TTS and Flash-Lite TTS (2026-09-23) are speech-generation siblings, not Pro chat — confirm model IDs in Google docs before pinning.

Use cases

  • Long-context document and video understanding
  • Multimodal research assistants
  • Enterprise apps on Vertex AI
  • Hard reasoning escalate above Flash

Strengths

  • Very large context windows
  • Strong native multimodality
  • Deep Google Cloud / Vertex integration

Limitations

  • Closed weights
  • 3.1 Pro remains a preview ID; 3.5 Pro GA delayed
  • Feature parity can differ across AI Studio vs Vertex

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