+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Jamba 1.5 Large vs o1-pro
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 39.9% higher average benchmark score. o1-pro supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Jamba 1.5 Large 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
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o1-pro
OpenAI
2024-12-17
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
+
+
+
+
Jamba 1.5 Large
Average Score:58.2%(+39.9%)
+
+
+
+
o1-pro
Average Score:18.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
Jamba 1.5 Large
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
+
+
+
+
o1-pro
+
+
+
+
Jamba 1.5 Large
Avg Score:58.2%(+39.9%)
Providers:2
+
+
+
+
o1-pro
Avg Score:18.3%
Providers:0