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GPT-3.5 Turbo vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 13.3% higher average benchmark score. Jamba 1.5 Large offers 491.5K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $8.00 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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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-3.5 Turbo
OpenAI
2023-03-21
Jamba 1.5 Large
AI21 Labs
2024-08-22
Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($8.00 cheaper)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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GPT-3.5 Turbo
Average Score:24.2%
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Jamba 1.5 Large
Average Score:37.4%(+13.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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
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GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
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GPT-3.5 Turbo
Avg Score:24.2%
Providers:2
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Jamba 1.5 Large
Avg Score:37.4%(+13.3%)
Providers:2