Ember-1 vs Laguna S 2.1
Ember-1 and Laguna S 2.1 are closely matched at 42.3 and 39.7 on the LLM Stats Score. Laguna S 2.1 is 48.0x cheaper per token.
Fireworks AI · Poolside · Updated for 2026
Which is better?
Ember-1 and Laguna S 2.1 are closely matched on the overall LLM Stats Score at 42.3 and 39.7.
In the 2 individual benchmarks reported for both models, Ember-1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Laguna S 2.1 is roughly 48.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Laguna S 2.1 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 Ember-1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Laguna S 2.1
- cost matters — it's about 48.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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
4 reported for Ember-1 · 6 for Laguna S 2.1
Ember-1 outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while Laguna S 2.1 is better at 0 benchmarks.
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, Ember-1 ($3.00/1M tokens) is 30.0x more expensive than Laguna S 2.1 ($0.10/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 75.0x more expensive than Laguna S 2.1 ($0.20/1M tokens).
In conclusion, Ember-1 is more expensive than Laguna S 2.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2662.0B more parameters than Laguna S 2.1, making it 2255.9% larger.
Context Window
Maximum input and output token capacity
Laguna S 2.1 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens.
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Laguna S 2.1 uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Laguna S 2.1 was released on 2026-07-21.
Ember-1 is 2 months newer than Laguna S 2.1.
Sep 23, 2026
1 months ago
2mo newerJul 21, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ember-1 is available from Fireworks. Laguna S 2.1 is available from Poolside.
Ember-1
Laguna S 2.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Laguna S 2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Laguna S 2.1.