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GPT-4 Turbo vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 16.3% higher average benchmark score. Jamba 1.5 Mini offers 380.2K more tokens in context window than GPT-4 Turbo. Jamba 1.5 Mini is $39.40 cheaper per million tokens. Overall, GPT-4 Turbo is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
4 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Jamba 1.5 Mini
AI21 Labs
2024-08-22
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($39.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4 Turbo
Average Score:67.3%(+16.3%)
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Jamba 1.5 Mini
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
Jamba 1.5 Mini
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 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Mini
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GPT-4 Turbo
Avg Score:67.3%(+16.3%)
Providers:2
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2