Model Comparison

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

Google

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.

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 1.0 Pro

Google

2024-02-15

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.0 Pro

Input:$0.50
Output:$1.50
Microsoft

Phi-3.5-mini-instruct

$1.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 3 common benchmarks

Google

Gemini 1.0 Pro

Average Score:44.1%
Microsoft

Phi-3.5-mini-instruct

+5.2%
Average Score:49.3%

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

math
39.6%
general
51.4%
Microsoft

Phi-3.5-mini-instruct

math
+21.3%
60.9%
general
+4.0%
55.4%
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

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Google

Gemini 1.0 Pro

Avg Score:44.1%
Providers:1
Microsoft

Phi-3.5-mini-instruct

+5.2%
Avg Score:49.3%
Providers:1