Model Comparison

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

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI'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.

Grok-1.5

xAI

2024-03-28

Phi-3.5-mini-instruct

Microsoft

2024-08-23

4 months newer

Performance Metrics

Context window and performance specifications

Grok-1.5

Max Context:-

Phi-3.5-mini-instruct

Larger context

Max Context:256.0K

Parameters:3.8B

Average performance across 6 common benchmarks

Grok-1.5

+6.4%

Average Score:63.8%

Phi-3.5-mini-instruct

Average Score:57.4%

Performance comparison across key benchmark categories

Grok-1.5

code

+7.9%

74.1%

math

+3.6%

64.5%

general

+0.7%

56.1%

Phi-3.5-mini-instruct

code

66.2%

math

60.9%

general

55.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Grok-1.5

0 providers

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s

Latency: 0.52ms

Grok-1.5

+6.4%

Avg Score:63.8%

Providers:0

Phi-3.5-mini-instruct

Avg Score:57.4%

Providers:1