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Jamba 1.5 LargevsClaude Opus 4

AI21 Labs vs Anthropic — Side-by-side model comparison

Jamba 1.5 Large leads 4/5 categories

Head-to-Head Comparison

MetricJamba 1.5 LargeClaude 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

1

Jamba 1.5 Large is 3.0x cheaper on average, making it the better choice for high-volume applications.

2

Jamba 1.5 Large supports a larger context window (256K), allowing it to process longer documents in a single request.

3

Jamba 1.5 Large is open-source (free to self-host and fine-tune) while Claude Opus 4 is proprietary (API-only access).

J

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
View full Jamba 1.5 Large specs →
C

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
View full Claude Opus 4 specs →

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

Frequently Asked Questions

Which is better, Jamba 1.5 Large or Claude Opus 4?
In our head-to-head comparison, Jamba 1.5 Large leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Jamba 1.5 Large excels at long documents, enterprise rag, analysis, while Claude Opus 4 is better suited for complex reasoning, coding, agentic tasks. The best choice depends on your specific requirements, budget, and use case.
How does Jamba 1.5 Large pricing compare to Claude Opus 4?
Jamba 1.5 Large charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. Claude Opus 4 charges $5.00 per 1M input tokens and $25.00 per 1M output tokens. Jamba 1.5 Large is the more affordable option, approximately 3.0x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Jamba 1.5 Large and Claude Opus 4?
Jamba 1.5 Large supports a 256K token context window, while Claude Opus 4 supports 200K tokens. Jamba 1.5 Large can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Jamba 1.5 Large or Claude Opus 4 for free?
Jamba 1.5 Large is a paid API model starting at $2.00 per 1M input tokens. Claude Opus 4 is a paid API model starting at $5.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Jamba 1.5 Large or Claude Opus 4?
Jamba 1.5 Large's arena rank is not yet available, while Claude Opus 4 holds rank #1. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Jamba 1.5 Large or Claude Opus 4 better for coding?
Jamba 1.5 Large's primary strength is long documents, enterprise rag, analysis. Claude Opus 4 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.