Model Comparison

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

OpenAI

GPT OSS 120B

OpenAI

GPT OSS 120B is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 2 benchmarks. Notable strengths include GPQA (71.5%), MMLU (54.8%). It supports a 161K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Microsoft

Phi 4

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. 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 4

Microsoft

2024-12-12

OpenAI

GPT OSS 120B

OpenAI

2025-08-05

7 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT OSS 120B

Input:$0.15
Output:$0.60
Microsoft

Phi 4

$0.54 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

OpenAI

GPT OSS 120B

Larger context
Max Context:161.0K
Parameters:120.0B
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 2 common benchmarks

OpenAI

GPT OSS 120B

Average Score:63.1%
Microsoft

Phi 4

+7.3%
Average Score:70.5%

Performance comparison across key benchmark categories

OpenAI

GPT OSS 120B

general
+2.9%
63.1%
Microsoft

Phi 4

general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT OSS 120B

1 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.5ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT OSS 120B

Avg Score:63.1%
Providers:1
Microsoft

Phi 4

+7.3%
Avg Score:70.5%
Providers:1