Model Comparison

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

xAI

Grok-1.5V

xAI

Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI'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.

xAI

Grok-1.5V

xAI

2024-04-12

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

4 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-1.5V

Max Context:-
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Performance comparison across key benchmark categories

xAI

Grok-1.5V

general
+22.3%
77.7%
math
52.8%
Microsoft

Phi-3.5-mini-instruct

general
55.4%
math
+8.1%
60.9%

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-1.5V

0 providers
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
xAI

Grok-1.5V

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-mini-instruct

Avg Score:0.0%
Providers:1