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GPT OSS 20B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 19.4% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than GPT OSS 20B. GPT OSS 20B is $9.75 cheaper per million tokens. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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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 OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20($9.75 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 2 common benchmarks
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GPT OSS 20B
Average Score:78.4%(+19.4%)
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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
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 OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:78.4%(+19.4%)
Providers:4
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2