Jamba 1.5 Mini (SSM)vsGPT-o3
AI21 Labs vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Jamba 1.5 Mini (SSM) | GPT-o3 |
|---|---|---|
| Provider | ||
| Arena Rank | — | #2 |
| Context Window | 256K | 200K |
| Input Pricing | /bin/zsh.20/1M tokens | $2.00/1M tokens |
| Output Pricing | /bin/zsh.40/1M tokens | $8.00/1M tokens |
| Parameters | 52B (12B active) | Undisclosed |
| Open Source | Yes | No |
| Best For | Efficient long-context processing, throughput | Advanced reasoning, agentic tasks, research |
| Release Date | Mar 28, 2024 | Apr 16, 2025 |
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-o3
GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.
View OpenAI profile →Key Differences: Jamba 1.5 Mini (SSM) vs GPT-o3
Jamba 1.5 Mini (SSM) is 16.7x 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-o3 is proprietary (API-only access).
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-o3
- +Quality matters more than cost
- +You prefer a managed API without infrastructure overhead
- +Your use case involves advanced reasoning, agentic tasks, research
Cost Analysis
At current pricing, Jamba 1.5 Mini (SSM) is 16.7x more affordable than GPT-o3. 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-o3 monthly cost
$500
100M tokens/mo (50/50 in/out)
The Verdict
Jamba 1.5 Mini (SSM) wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for efficient long-context processing, throughput, though GPT-o3 holds an edge in advanced reasoning, agentic tasks, research.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages