Model Comparison

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

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.

Google

Gemini 1.5 Flash 8B

Google

2024-03-15

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash 8B

Input:$0.07
Output:$0.30
Microsoft

Phi-3.5-mini-instruct

$0.17 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash 8B

Larger context
Max Context:1.1M
Parameters:8.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 3 common benchmarks

Google

Gemini 1.5 Flash 8B

+9.8%
Average Score:51.9%
Microsoft

Phi-3.5-mini-instruct

Average Score:42.1%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

general
+11.8%
67.2%
code
58.2%
math
48.7%
Microsoft

Phi-3.5-mini-instruct

general
55.4%
code
+8.0%
66.2%
math
+12.1%
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash 8B

2024-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Flash 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Google

Gemini 1.5 Flash 8B

+9.8%
Avg Score:51.9%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:42.1%
Providers:1