Claude Opus 5.5 vs Jamba 1.5 Large
Claude Opus 5.5 leads the LLM Stats Score 59.8 to 0.9. Jamba 1.5 Large is 2.3x cheaper per token.
Anthropic · AI21 Labs · Updated for 2026
Which is better?
Claude Opus 5.5 leads the overall LLM Stats Score 59.8 to 0.9, ranking #1 overall.
On price, Jamba 1.5 Large is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 5.5
- overall performance matters — it scores 59.8 and ranks #1 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Jamba 1.5 Large
- cost matters — it's about 2.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Claude Opus 5.5 · 8 for Jamba 1.5 Large
Claude Opus 5.5 and Jamba 1.5 Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 5.5 ($4.00/1M tokens) is 2.0x more expensive than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Claude Opus 5.5 ($20.00/1M tokens) is 2.5x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Claude Opus 5.5 is more expensive than Jamba 1.5 Large.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 5.5 accepts 1,000,000 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Claude Opus 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 5.5 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Claude Opus 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5.5
Jamba 1.5 Large
License
Usage and distribution terms
Claude Opus 5.5 is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Claude Opus 5.5 was released on 2026-09-22, while Jamba 1.5 Large was released on 2024-08-22.
Claude Opus 5.5 is 25 months newer than Jamba 1.5 Large.
Sep 22, 2026
0 days ago
2.1yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Claude Opus 5.5 has a knowledge cutoff of 2026-06-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Claude Opus 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).
Jun 2026
2.3 yr newerMar 2024
Provider Availability
Claude Opus 5.5 is available from Anthropic. Jamba 1.5 Large is available from Bedrock, Google.
Claude Opus 5.5
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5.5 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5.5 vs Jamba 1.5 Large.