Jamba 1.5 LargevsClaude Opus 4
AI21 Labs vs Anthropic — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Jamba 1.5 Large | Claude Opus 4 |
|---|---|---|
| Provider | ||
| Arena Rank | — | #1 |
| Context Window | 256K | 200K |
| Input Pricing | $2.00/1M tokens | $5.00/1M tokens |
| Output Pricing | $8.00/1M tokens | $25.00/1M tokens |
| Parameters | 398B (94B active) | Undisclosed |
| Open Source | Yes | No |
| Best For | Long documents, enterprise RAG, analysis | Complex reasoning, coding, agentic tasks |
| Release Date | Aug 22, 2024 | May 22, 2025 |
Jamba 1.5 Large
Jamba 1.5 Large, developed by AI21 Labs, is a hybrid model combining the Mamba state-space architecture with traditional Transformer layers, featuring 398 billion total parameters (94 billion active) and a 256K token context window. The novel SSM-Transformer design enables efficient processing of very long sequences while maintaining strong performance on reasoning and generation tasks. The architecture offers better throughput than pure Transformer models at equivalent quality, reducing inference costs for long-context workloads. Priced at $2.00 per million input tokens and $8.00 per million output tokens. As an open-source model, it can be self-hosted for enterprise deployments. Jamba 1.5 Large demonstrates that architectural diversity beyond the dominant Transformer paradigm can yield practical advantages, particularly for applications requiring processing of lengthy legal, scientific, or financial documents.
View AI21 Labs profile →Claude Opus 4
Claude Opus 4 is Anthropic's most powerful AI model, holding the #1 position on the Chatbot Arena leaderboard. It represents a breakthrough in extended thinking and agentic capabilities, able to work autonomously on complex multi-step tasks for hours. With a 200K token context window, it excels at analyzing entire codebases, lengthy legal documents, and research papers in a single pass. The model demonstrates exceptional performance in coding (setting new benchmarks on SWE-bench), advanced reasoning, and nuanced writing tasks. Its agentic capabilities allow it to use tools, navigate computers, and execute multi-step workflows with minimal human oversight. Opus 4 is the preferred choice for enterprises requiring the highest quality output on mission-critical tasks where accuracy and depth matter more than speed or cost.
View Anthropic profile →Key Differences: Jamba 1.5 Large vs Claude Opus 4
Jamba 1.5 Large is 3.0x cheaper on average, making it the better choice for high-volume applications.
Jamba 1.5 Large supports a larger context window (256K), allowing it to process longer documents in a single request.
Jamba 1.5 Large is open-source (free to self-host and fine-tune) while Claude Opus 4 is proprietary (API-only access).
When to use Jamba 1.5 Large
- +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 long documents, enterprise rag, analysis
When to use Claude Opus 4
- +Quality matters more than cost
- +You prefer a managed API without infrastructure overhead
- +Your use case involves complex reasoning, coding, agentic tasks
Cost Analysis
At current pricing, Jamba 1.5 Large is 3.0x more affordable than Claude Opus 4. For a typical enterprise workload processing 100M tokens per month:
Jamba 1.5 Large monthly cost
$500
100M tokens/mo (50/50 in/out)
Claude Opus 4 monthly cost
$1,500
100M tokens/mo (50/50 in/out)
The Verdict
Jamba 1.5 Large wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for long documents, enterprise rag, analysis, though Claude Opus 4 holds an edge in complex reasoning, coding, agentic tasks.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages