Claude 3 Haiku vs Jamba 1.5 Large
Claude 3 Haiku and Jamba 1.5 Large are closely matched at -1.2 and 1.2 on the LLM Stats Score. Claude 3 Haiku is 7.0x cheaper per token.
Anthropic · AI21 Labs · Updated for 2026
Which is better?
Claude 3 Haiku and Jamba 1.5 Large are closely matched on the overall LLM Stats Score at -1.2 and 1.2.
In the 4 individual benchmarks reported for both models, Jamba 1.5 Large wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3 Haiku is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 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 3 Haiku
- cost matters — it's about 7.0x cheaper per token
Choose Jamba 1.5 Large
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Aug 2024
- 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
10 reported for Claude 3 Haiku · 8 for Jamba 1.5 Large
Claude 3 Haiku outperforms in 1 benchmarks (GSM8k), while Jamba 1.5 Large is better at 3 benchmarks (ARC-C, GPQA, MMLU).
Jamba 1.5 Large shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 8.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 6.4x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Claude 3 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Claude 3 Haiku's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Claude 3 Haiku is limited to 200,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Jamba 1.5 Large does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Jamba 1.5 Large
License
Usage and distribution terms
Claude 3 Haiku 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 3 Haiku was released on 2024-03-13, while Jamba 1.5 Large was released on 2024-08-22.
Jamba 1.5 Large is 5 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Aug 22, 2024
2.0 years ago
5mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Claude 3 Haiku's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
Mar 2024
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Jamba 1.5 Large is available from Bedrock, Google.
Claude 3 Haiku
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Jamba 1.5 Large.