Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Phi 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Phi 4 Mini

Microsoft

2025-02-01

11 months newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Phi 4 Mini

Max Context:-

Parameters:3.8B

Average performance across 3 common benchmarks

Gemini 1.0 Pro

Average Score:44.1%

Phi 4 Mini

+8.1%

Average Score:52.2%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Phi 4 Mini

math

+32.6%

72.2%

general

+9.4%

60.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Phi 4 Mini

0 providers

Gemini 1.0 Pro

Avg Score:44.1%

Providers:1

Phi 4 Mini

+8.1%

Avg Score:52.2%

Providers:0