Model Comparison

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

xAI

Grok-4

xAI

Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

xAI

Grok-4

xAI

2025-07-09

10 months newer

Pricing Comparison

Cost per million tokens (USD)

xAI

Grok-4

Input:$3.00
Output:$15.00
Microsoft

Phi-3.5-mini-instruct

$17.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

xAI

Grok-4

Larger context
Max Context:264.0K
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 1 common benchmarks

xAI

Grok-4

+57.1%
Average Score:87.5%
Microsoft

Phi-3.5-mini-instruct

Average Score:30.4%

Performance comparison across key benchmark categories

xAI

Grok-4

code
+12.8%
79.0%
reasoning
15.9%
general
+13.9%
69.3%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
reasoning
+58.3%
74.2%
general
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Grok-4

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4

2 providers

xAI

Throughput: 100 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
xAI

Grok-4

+57.1%
Avg Score:87.5%
Providers:2
Microsoft

Phi-3.5-mini-instruct

Avg Score:30.4%
Providers:1