Model Comparison

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

Gemma 3 1B

Google

Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Gemma 3 1B

Google

2025-03-12

6 months newer

Performance Metrics

Context window and performance specifications

Gemma 3 1B

Max Context:-

Parameters:1.0B

Phi-3.5-mini-instruct

Larger context

Max Context:256.0K

Parameters:3.8B

Average performance across 7 common benchmarks

Gemma 3 1B

Average Score:37.2%

Phi-3.5-mini-instruct

+21.9%

Average Score:59.1%

Performance comparison across key benchmark categories

Gemma 3 1B

code

43.0%

factuality

36.4%

math

42.2%

general

17.8%

Phi-3.5-mini-instruct

code

+23.2%

66.2%

factuality

+27.6%

64.0%

math

+18.7%

60.9%

general

+37.6%

55.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3 1B

0 providers

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s

Latency: 0.52ms

Gemma 3 1B

Avg Score:37.2%

Providers:0

Phi-3.5-mini-instruct

+21.9%

Avg Score:59.1%

Providers:1