Claude Haiku 5.5 vs Jamba 1.5 Large
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 0.9. Claude Haiku 5.5 is 17.5x cheaper per token.
Anthropic · AI21 Labs · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 0.9, ranking #19 overall.
On price, Claude Haiku 5.5 is roughly 17.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 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 Haiku 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 17.5x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Jamba 1.5 Large
- 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
36 reported for Claude Haiku 5.5 · 8 for Jamba 1.5 Large
Claude Haiku 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 Haiku 5.5 ($0.10/1M tokens) is 20.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 16.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Claude Haiku 5.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 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 Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 5.5
Jamba 1.5 Large
License
Usage and distribution terms
Claude Haiku 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 Haiku 5.5 was released on 2026-10-07, while Jamba 1.5 Large was released on 2024-08-22.
Claude Haiku 5.5 is 26 months newer than Jamba 1.5 Large.
Oct 7, 2026
0 days ago
2.1yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Claude Haiku 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 Haiku 5.5 is available from Anthropic. Jamba 1.5 Large is available from Bedrock, Google.
Claude Haiku 5.5
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Jamba 1.5 Large.