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GPT-5 Codex vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 41.6% higher average benchmark score. Jamba 1.5 Mini is available on 2 providers. Overall, Jamba 1.5 Mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
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AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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
Jamba 1.5 Mini
AI21 Labs
2024-08-22
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GPT-5 Codex
Average Score:8.3%
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Jamba 1.5 Mini
Average Score:49.8%(+41.6%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
GPT-5 Codex
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 Codex
0 providers
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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
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GPT-5 Codex
Avg Score:8.3%
Providers:0
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Jamba 1.5 Mini
Avg Score:49.8%(+41.6%)
Providers:2