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Gemini 3.1 Pro

Googlefrontier

Google's latest reasoning-first frontier model, still in preview. Built from the ground up for agentic workflows with native planning, tool orchestration, and self-verification. Early benchmarks suggest it rivals Claude Opus 4.6 on coding and exceeds Gemini 2.5 Pro on reasoning.

Released 2026-03-18Knowledge cutoff: 2026-01
Needs review|Updated 56d ago|72% source confidence

Specifications

Context Window

1.0M tokens

Max Output

65.5K tokens

Input Price

$2.00 / 1M tokens

Output Price

$12.00 / 1M tokens

Latency Tier

Moderate (speed score: 6/10)

Capability Profile

Reasoning
9.5/10
Long Context
9.5/10
Multimodal
9.5/10
Tool Use
9.5/10
Coding
9/10
Structured Output
9/10
Factuality
9/10
Instruction Following
9/10
Safety & Enterprise
8.5/10
Conversational
8.5/10
Creativity
8/10
Speed
6/10
Cost Efficiency
6/10

Feature Support

Vision Yes
Audio In Yes
Audio Out No
Video Yes
Image Generation No
Image Editing No
Function Calling Yes
JSON Mode Yes
Structured Output Yes
Streaming Yes
Reasoning Yes
Realtime No
Computer Use No
Web Search No

Best Use Cases

Complex agentic workflows requiring multi-step planning and tool orchestration
Long-horizon tasks that benefit from native planning capabilities
Multimodal analysis combining video, audio, images, and text
Research and analysis tasks where self-verification improves accuracy
Frontier-quality reasoning at a lower price than GPT-5.4 or Claude Opus

Not Ideal For

Production workloads — it's still in preview and behavior may change
Tasks requiring stable, well-documented API behavior
Budget-constrained applications
Simple tasks where its agentic capabilities are unnecessary overhead

Strengths

Native agentic planning — can decompose complex tasks into steps automatically
Self-verification loop catches and corrects its own errors
Strongest multimodal model from Google yet
1M context with improved recall over Gemini 2.5 Pro
Reasoning quality approaches o3 while being faster

Weaknesses

Preview model — API may change, behavior may shift between versions
Limited independent evaluation data (too new)
Self-verification adds latency for tasks that don't need it
Pricing is not final and may increase at GA
Community experience and best practices are still developing

Edge Cases & Notes

Preview access requires explicit API enablement
Benchmark numbers are preliminary and from Google's own evaluations
Planning capability works best with explicit goal descriptions
Self-verification can sometimes loop on ambiguous tasks — set max iterations

Provider Notes

Available in preview through the Gemini API and Vertex AI. Not recommended for production workloads until GA. Expect API changes. Pricing is preliminary.

Benchmarks

MMLU93.5%
HumanEval93%
Arena Elo1405

Benchmark Notes

Preliminary benchmarks from Google: MMLU-Pro 93.5%, HumanEval 93%. Independent Arena evaluation places it near GPT-5.4 and Claude Opus 4.6. SWE-bench evaluation pending. Numbers may shift at GA.

Research Meta

Last Evaluated

2026-04-01

Source Confidence

72%

Evaluation Method

Preliminary Google benchmarks, early LMSYS Arena data, limited independent evaluation

Needs Re-evaluation

Yes

Sources

  • Google Gemini 3.1 Pro preview announcement (Mar 2026)
  • Early LMSYS Chatbot Arena data
  • Google I/O 2026 keynote

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