Claude Haiku 4.5 vs Jamba 1.5 Large
Claude Haiku 4.5 significantly outperforms across most benchmarks. Claude Haiku 4.5 is 1.8x cheaper per token.
Anthropic · AI21 Labs · Updated for 2026
Which is better?
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, Claude Haiku 4.5 is roughly 1.8x 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 benchmark, pricing, and model metadata for 2026.
Choose Claude Haiku 4.5
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Oct 2025
Choose Jamba 1.5 Large
- you process long inputs — it offers a 256,000 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 2.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 1.6x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Claude Haiku 4.5.*
* 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 Haiku 4.5's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
Jamba 1.5 Large
License
Usage and distribution terms
Claude Haiku 4.5 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 4.5 was released on 2025-10-15, while Jamba 1.5 Large was released on 2024-08-22.
Claude Haiku 4.5 is 14 months newer than Jamba 1.5 Large.
Oct 15, 2025
10 months ago
1.1yr newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Claude Haiku 4.5 has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).
Feb 2025
11 mo newerMar 2024
Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. Jamba 1.5 Large is available from Bedrock, Google.
Claude Haiku 4.5
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs Jamba 1.5 Large.