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GPT-4.1 nano vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 10.7% higher average benchmark score. GPT-4.1 nano offers 568.3K more tokens in context window than Jamba 1.5 Large. GPT-4.1 nano is $9.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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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.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
GPT-4.1 nano
OpenAI
2025-04-14
Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40($9.50 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 31 common benchmarks
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GPT-4.1 nano
Average Score:27.6%(+10.7%)
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Jamba 1.5 Large
Average Score:16.9%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Jamba 1.5 Large
2 providers
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GPT-4.1 nano
Avg Score:27.6%(+10.7%)
Providers:1
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Jamba 1.5 Large
Avg Score:16.9%
Providers:2