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Gemini 1.5 Pro (Sept 2024) vs Phi-4

Gemini 1.5 Pro (Sept 2024) · Google DeepMind, released 2024-09-24
Phi-4 OPEN WEIGHTS · Microsoft Research, released 2024-12-12

“Epoch AI, 'AI Benchmarking Hub'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks' [online resource].” · epoch.ai/benchmarks · Licensed CC BY 4.0 · data last verified 2026-09-09 · Methodology · Data Sources

Gemini 1.5 Pro (Sept 2024) leads on more of the 4 benchmarks where both are measured — Gemini 1.5 Pro (Sept 2024) on 4. The remaining 5 of 9 tracked benchmarks cannot be compared: 1 has a result for only one of the two models, 4 for neither. Nothing on this page is estimated to fill those in.

Head-to-head

Measured on 4 of 9 tracked benchmarks for both models — Gemini 1.5 Pro (Sept 2024) leads on 4.

BenchmarkGemini 1.5 Pro (Sept 2024) Phi-4Leads
Epoch Capabilities Index (ECI)131.7130.4Gemini 1.5 Pro (Sept 2024)
SWE-bench VerifiedNot measuredNot measuredNot measured on both
GPQA Diamond0.5720.561Gemini 1.5 Pro (Sept 2024)
MATH Level 50.7040.649Gemini 1.5 Pro (Sept 2024)
OTIS Mock AIME 2024-20250.2310.138Gemini 1.5 Pro (Sept 2024)
FrontierMathNot measuredNot measuredNot measured on both
FrontierMath Tier 4Not measuredNot measuredNot measured on both
SimpleQA VerifiedNot measuredNot measuredNot measured on both
Chess PuzzlesNot measured0.010Comparison unavailable — Gemini 1.5 Pro (Sept 2024) has no published result
Benchmark results measure specific tasks and should not be treated as a universal measure of model quality. A model with no row here for a benchmark has not been measured on it — that is left blank, never estimated.

What remains uncertain

A missing result means Xentir has not found one published by the source it cites, not that the model performs badly. See Data Sources.

Full profiles

Gemini 1.5 Pro (Sept 2024) → · Phi-4 → · the full AI Model Rankings table