gpt.college

Google · Gemini · Reviewed 2026-06-11

Gemini 3 Pro

A Gemini 3 Pro baseline included in Google DeepMind's Gemini 3.1 Pro comparison table.

All models
Overall · 0–100—
Status
active
Released
—
Context
Not disclosed
Parameters
Undisclosed
Inputs
Text · Image · Audio · Video · File
Type
multimodal
Max output
— tokens
API model ID
—
Reasoning
—
Knowledge cutoff
—
Training cutoff
—
Weights / license
—
Price / 1M tokens
—
Cached input
—
Strong GPQA Diamond and MMMU-Pro scoresBroad multimodal model coverage
CodingReasoningResearchMultimodalAgentic

Independent benchmark scores

No snapshot score

Coding

—

No comparable score for this task lens in the selected independent snapshot.

No snapshot score

Reasoning

—

No comparable score for this task lens in the selected independent snapshot.

No snapshot score

Research

—

No comparable score for this task lens in the selected independent snapshot.

No snapshot score

Multimodal

—

No comparable score for this task lens in the selected independent snapshot.

No snapshot score

Agentic

—

No comparable score for this task lens in the selected independent snapshot.

Raw benchmark results

Source-backed rows with the original evaluation context preserved.

5 results
BenchmarkScoreSourceEvaluation notes
BrowseCompChecked 2026-06-11 59.2% Google DeepMind BrowseComp comparison-row score for Gemini 3 Pro on the Gemini 3.1 Pro page.
GPQA / GPQA DiamondChecked 2026-06-11 91.9% Google DeepMind GPQA Diamond comparison-row score for Gemini 3 Pro on the Gemini 3.1 Pro page.
Humanity's Last Exam (HLE)Checked 2026-06-12 37.72% Benchmark project Scale Labs HLE Text Only score for gemini-3-pro-preview, covering the 86% text-only HLE subset.
MMMU-ProChecked 2026-06-11 81% Google DeepMind MMMU-Pro no-tools comparison-row score for Gemini 3 Pro on the Gemini 3.1 Pro page.
SWE-bench VerifiedChecked 2026-06-11 76.2% Google DeepMind SWE-Bench Verified comparison-row score for Gemini 3 Pro on the Gemini 3.1 Pro page.

Strengths

  • Strong GPQA Diamond and MMMU-Pro scores
  • Broad multimodal model coverage

Limitations

  • Scores are listed as comparison rows on the Gemini 3.1 Pro page

Model evidence · official · Checked 2026-06-10

Gemini models documentation

Use for model availability and context notes; verify before publishing claims.

Model evidence · official · Checked 2026-06-11

Gemini 3.1 Pro model page

Official Google DeepMind model page with benchmark table and methodology link for Gemini 3.1 Pro.

Task lenses preserve raw scores. Radar axes use score / current leader × 100; overall is the equal-weight average of all five indices. Missing evidence is not a zero or a low rank.