Ember-1 vs Jamba 1.5 Large
Ember-1 leads the LLM Stats Score 43.6 to 0.9. Jamba 1.5 Large is 1.7x cheaper per token.
Fireworks AI · AI21 Labs · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to 0.9, ranking #45 overall.
On price, Jamba 1.5 Large is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ember-1 also accepts a larger context window (1,040,000 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 Ember-1
- overall performance matters — it scores 43.6 and ranks #45 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Jamba 1.5 Large
- cost matters — it's about 1.7x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 8 for Jamba 1.5 Large
Ember-1 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, Ember-1 ($3.00/1M tokens) is 1.5x more expensive than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 1.9x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Ember-1 is more expensive than Jamba 1.5 Large.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2382.0B more parameters than Jamba 1.5 Large, making it 598.5% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Only Jamba 1.5 Large specifies output context (256,000 tokens).
License
Usage and distribution terms
Ember-1 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
Ember-1 was released on 2026-09-23, while Jamba 1.5 Large was released on 2024-08-22.
Ember-1 is 25 months newer than Jamba 1.5 Large.
Sep 23, 2026
2 weeks ago
2.1yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Ember-1'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 Ember-1's cutoff date.
—
Mar 2024
Provider Availability
Ember-1 is available from Fireworks. Jamba 1.5 Large is available from Bedrock, Google.
Ember-1
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Jamba 1.5 Large.