Comprehensive side-by-side LLM comparison
o3 leads with 33.1% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o3. Both models have similar pricing. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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.
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K 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 OpenAI's latest advancement in AI technology.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
Jamba 1.5 Large
o3
Context window and performance specifications
Average performance across 29 common benchmarks
Jamba 1.5 Large
o3
Jamba 1.5 Large
2024-03-05
o3
2024-05-31
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
o3
Jamba 1.5 Large
o3
Jamba 1.5 Large
o3
OpenAI