Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 10.4% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $9.90 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct 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.
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
1 month newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Llama 3.2 11B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Jamba 1.5 Large
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks
Jamba 1.5 Large
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Llama 3.2 11B Instruct
Jamba 1.5 Large
Llama 3.2 11B Instruct
Jamba 1.5 Large
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together