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GPT-5 vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-5 leads with 30.0% higher average benchmark score. GPT-5 offers 16.0K more tokens in context window than Jamba 1.5 Large. Jamba 1.5 Large is $1.25 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
11 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$1.25
Output:$10.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($1.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5
Average Score:89.1%(+30.0%)
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Jamba 1.5 Large
Average Score:59.1%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
GPT-5
2024-09-30
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-5
2 providers
OpenAI
Throughput: 100 tok/s
Latency: 2ms
ZeroEval
Throughput: 100 tok/s
Latency: 2ms
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Jamba 1.5 Large
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GPT-5
Avg Score:89.1%(+30.0%)
Providers:2
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2