Jamba 1.5 Mini (SSM)vsGPT-4o
AI21 Labs vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Jamba 1.5 Mini (SSM) | GPT-4o |
|---|---|---|
| Provider | ||
| Arena Rank | — | #2 |
| Context Window | 256K | 128K |
| Input Pricing | /bin/zsh.20/1M tokens | $2.50/1M tokens |
| Output Pricing | /bin/zsh.40/1M tokens | $10.00/1M tokens |
| Parameters | 52B (12B active) | ~200B (est.) |
| Open Source | Yes | No |
| Best For | Efficient long-context processing, throughput | General purpose, coding, analysis |
| Release Date | Mar 28, 2024 | — |
Jamba 1.5 Mini (SSM)
Jamba is AI21 Labs' pioneering hybrid architecture that combines Mamba state-space model layers with transformer attention layers. This novel approach achieves 3x throughput improvement over pure transformer models of equivalent quality. The Jamba architecture represents a significant step toward more efficient AI models that can process long contexts without the quadratic cost of full attention.
View AI21 Labs profile →GPT-4o
GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.
View OpenAI profile →Key Differences: Jamba 1.5 Mini (SSM) vs GPT-4o
Jamba 1.5 Mini (SSM) is 20.8x cheaper on average, making it the better choice for high-volume applications.
Jamba 1.5 Mini (SSM) supports a larger context window (256K), allowing it to process longer documents in a single request.
Jamba 1.5 Mini (SSM) is open-source (free to self-host and fine-tune) while GPT-4o is proprietary (API-only access).
Jamba 1.5 Mini (SSM) has 52B (12B active) parameters vs GPT-4o's ~200B (est.), which affects inference speed and capability.
When to use Jamba 1.5 Mini (SSM)
- +Budget is a concern and you need cost efficiency
- +You need to process long documents (256K context)
- +You need to self-host or fine-tune the model
- +Your use case involves efficient long-context processing, throughput
When to use GPT-4o
- +Quality matters more than cost
- +You prefer a managed API without infrastructure overhead
- +Your use case involves general purpose, coding, analysis
Cost Analysis
At current pricing, Jamba 1.5 Mini (SSM) is 20.8x more affordable than GPT-4o. For a typical enterprise workload processing 100M tokens per month:
Jamba 1.5 Mini (SSM) monthly cost
$30
100M tokens/mo (50/50 in/out)
GPT-4o monthly cost
$625
100M tokens/mo (50/50 in/out)
The Verdict
Jamba 1.5 Mini (SSM) wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for efficient long-context processing, throughput, though GPT-4o holds an edge in general purpose, coding, analysis.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages