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

GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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.
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

GPT-5 nano
OpenAI
2025-08-07
11 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-5 nano
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications

GPT-5 nano
Jamba 1.5 Large
Average performance across 1 common benchmarks

GPT-5 nano
Jamba 1.5 Large
Performance comparison across key benchmark categories

GPT-5 nano
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI
Jamba 1.5 Large
Bedrock

GPT-5 nano
Jamba 1.5 Large