ModelRefs / Gemini 3.1 Pro by Google — Benchmarks, Pricing & Review (20…

Gemini 3.1 Pro by Google — Benchmarks, Pricing & Review (20…

Gemini 3.1 Pro (Google): Gemini 3.1 Pro is Google DeepMind's flagship multimodal model with a 2M-token context window spanning text, image, audio, and video…

What this reference supports

Gemini 3.1 Pro is Google's Pro-tier hosted Gemini model, positioned for multimodal reasoning, coding, and long-context work across the Gemini API, Vertex AI, and Google products. Implementation decisions weigh its multimodal and context capabilities against cost, and require pinning exact model versions because Gemini variants advance quickly.

Gemini 3.1 Pro is attributed to Google in ModelRefs' canonical registry. Tracked modalities: Text input and output, Image input, Audio and video input on supported variants. Primary use cases considered on ModelRefs: Multimodal document, image, and video analysis workflows; Long-context reasoning and coding tasks integrated with Google Cloud tooling.

This ModelRefs profile is Provisional and pending review — decision-support material, not a final or universal ranking. Confirm current behavior, access, pricing, limits, licensing, and lifecycle in Google's own documentation, and evaluate Gemini 3.1 Pro on representative workloads before implementation.

Benchmark & Evaluation

ModelRefs does not yet hold qualifying sourced benchmark evidence for Gemini 3.1 Pro, so its benchmark coverage is incomplete. Treat any benchmark discussion as provisional and confirm results on representative workloads before selecting it.

  • No benchmark score is imported into this editorial record. Provider-reported evaluations support scoped notes only; canonical score records are governed separately with their own provenance.
  • Google's model pages report provider-run evaluations under provider-defined harnesses; no score is imported by this record.

Implementation considerations

  • Pin the exact model version string; Gemini API and Vertex AI expose different lifecycles, quotas, and regional availability for the same family.
  • Validate multimodal and long-context behavior on representative inputs; capability varies by modality and input length.
  • Hosted through the Gemini API (AI Studio) and Vertex AI, with distinct quotas, terms, data controls, and regional coverage.
  • Check the current model catalog for variant status; preview and stable channels differ in stability guarantees.

Risks and limitations

  • Hosted-model behavior, quotas, pricing, and data controls can change without a client-side version pin unless a dated snapshot is used.
  • Provider-reported capabilities require task-specific evaluation before production reliance.

Source coverage

This reference is Provisional. Model behavior, access, pricing, limits, and lifecycle can change; verify the linked provider documentation and run task-specific evaluations before implementation.

Known coverage gaps:

  • Version-specific evaluation and lifecycle mapping across Gemini API and Vertex AI is incomplete.
  • Independent multimodal evaluation reproduction is not attached.

Sources

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Gemini 3.1 Pro by Google — Benchmarks, Pricing & Review (20….