Beam 1.0 vs Ember-1
Beam 1.0 and Ember-1 are closely matched at 44.6 and 42.3 on the LLM Stats Score. Beam 1.0 is 10.0x cheaper per token.
Reflection AI · Fireworks AI · Updated for 2026
Which is better?
Beam 1.0 and Ember-1 are closely matched on the overall LLM Stats Score at 44.6 and 42.3.
In the 3 individual benchmarks reported for both models, Ember-1 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Beam 1.0 also accepts a larger context window (1,048,576 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 Beam 1.0
- cost matters — it's about 10.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Ember-1
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 4 for Ember-1
Beam 1.0 outperforms in 0 benchmarks, while Ember-1 is better at 3 benchmarks (DeepSWE 1.1, SWE-Bench Verified, Terminal-Bench 2.1).
Ember-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 7.5x cheaper than Ember-1 ($3.00/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 12.5x cheaper than Ember-1 ($15.00/1M tokens).
In conclusion, Ember-1 is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2278.7B more parameters than Beam 1.0, making it 454.6% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only Beam 1.0 specifies output context (131,072 tokens).
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Ember-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Ember-1 was released on 2026-09-23.
Beam 1.0 is 1 month newer than Ember-1.
Oct 16, 2026
3 days ago
3w newerSep 23, 2026
3 weeks ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Ember-1's cutoff date is not specified.
We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Ember-1's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Ember-1 is available from Fireworks.
Beam 1.0
Ember-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Ember-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Ember-1.