+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Jamba 1.5 Large vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 25.0% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $9.82 cheaper per million tokens. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B 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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
28 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Jamba 1.5 Large
Input:$2.00
Output:$8.00
+
+
+
+
Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($9.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
+
+
+
+
Jamba 1.5 Large
Average Score:29.1%
+
+
+
+
Qwen2.5-Coder 32B Instruct
Average Score:54.1%(+25.0%)
+
+
+
+
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
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
+
+
+
+
+
+
+
+
Jamba 1.5 Large
Avg Score:29.1%
Providers:2
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:54.1%(+25.0%)
Providers:4