Model Comparison

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

Google

Gemma 3 12B

Google

Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Microsoft

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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Google

Gemma 3 12B

Google

2025-03-12

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 12B

$0.05 cheaper
Input:$0.05
Output:$0.10
Microsoft

Phi-3.5-mini-instruct

Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Google

Gemma 3 12B

Larger context
Max Context:262.1K
Parameters:12.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 7 common benchmarks

Google

Gemma 3 12B

+15.7%
Average Score:74.8%
Microsoft

Phi-3.5-mini-instruct

Average Score:59.1%

Performance comparison across key benchmark categories

Google

Gemma 3 12B

factuality
+11.8%
75.8%
math
+13.0%
73.9%
code
+4.3%
70.5%
general
53.2%
Microsoft

Phi-3.5-mini-instruct

factuality
64.0%
math
60.9%
code
66.2%
general
+2.2%
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 12B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Google

Gemma 3 12B

+15.7%
Avg Score:74.8%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:59.1%
Providers:1