Model Comparison

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

xAI

Grok-3

xAI

Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. It supports a 136K token context window for handling large documents. 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 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-3

xAI

2025-02-17

5 months newer

Pricing Comparison

Cost per million tokens (USD)

xAI

Grok-3

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-3

Max Context:136.0K
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 1 common benchmarks

xAI

Grok-3

+54.2%
Average Score:84.6%
Microsoft

Phi-3.5-mini-instruct

Average Score:30.4%

Performance comparison across key benchmark categories

xAI

Grok-3

general
+35.0%
90.4%
code
+13.2%
79.4%
Microsoft

Phi-3.5-mini-instruct

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

Grok-3

2024-11-17

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-3

1 providers

xAI

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-3

+54.2%
Avg Score:84.6%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:30.4%
Providers:1