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GPT-4 vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4 leads with 22.7% higher average benchmark score. Jamba 1.5 Large offers 446.5K more tokens in context window than GPT-4. Jamba 1.5 Large is $80.00 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, GPT-4 is the stronger choice for coding tasks.
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OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.
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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.
1 year newer
GPT-4
OpenAI
2023-06-13
Jamba 1.5 Large
AI21 Labs
2024-08-22
Pricing Comparison
Cost per million tokens (USD)
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GPT-4
Input:$30.00
Output:$60.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($80.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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GPT-4
Average Score:51.8%(+22.7%)
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Jamba 1.5 Large
Average Score:29.1%
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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
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GPT-4
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
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GPT-4
Avg Score:51.8%(+22.7%)
Providers:2
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Jamba 1.5 Large
Avg Score:29.1%
Providers:2