Model Comparison

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

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.

Alibaba

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

Alibaba

Qwen2.5 14B Instruct

Alibaba

2024-09-19

28 days newer

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B
Alibaba

Qwen2.5 14B Instruct

Max Context:-
Parameters:14.7B

Average performance across 6 common benchmarks

Jamba 1.5 Large

+0.1%
Average Score:68.3%
Alibaba

Qwen2.5 14B Instruct

Average Score:68.2%

Performance comparison across key benchmark categories

Jamba 1.5 Large

reasoning
+25.7%
93.0%
math
87.0%
general
57.1%
factuality
58.3%
Alibaba

Qwen2.5 14B Instruct

reasoning
67.3%
math
+0.4%
87.4%
general
+10.3%
67.4%
factuality
+0.1%
58.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 14B Instruct

0 providers

Jamba 1.5 Large

+0.1%
Avg Score:68.3%
Providers:2
Alibaba

Qwen2.5 14B Instruct

Avg Score:68.2%
Providers:0