Model Comparison

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

OpenAI

GPT-5 mini

OpenAI

GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K 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 OpenAI's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

OpenAI

GPT-5 mini

OpenAI

2025-08-07

3 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 mini

Larger context
Max Context:528.0K
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

OpenAI

GPT-5 mini

math
22.1%
general
+19.8%
69.5%
IBM

IBM Granite 4.0 Tiny Preview

math
+48.0%
70.1%
general
49.7%
Knowledge Cutoff
Training data recency comparison

GPT-5 mini

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
IBM

IBM Granite 4.0 Tiny Preview

0 providers
OpenAI

GPT-5 mini

Avg Score:0.0%
Providers:2
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0