Ember-1 vs Llama 3.1 8B Instruct
Ember-1 leads the LLM Stats Score 43.1 to -2.6. Llama 3.1 8B Instruct is 266.7x cheaper per token.
Fireworks AI · Meta · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to -2.6, ranking #51 overall.
On price, Llama 3.1 8B Instruct is roughly 266.7x 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 43.1 and ranks #51 on LLM Stats
- your work emphasizes reasoning and coding — 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 Llama 3.1 8B Instruct
- cost matters — it's about 266.7x cheaper per token
- 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 · 18 for Llama 3.1 8B Instruct
Ember-1 and Llama 3.1 8B Instructdon'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 150.0x more expensive than Llama 3.1 8B Instruct ($0.02/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 500.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).
In conclusion, Ember-1 is more expensive than Llama 3.1 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2772.0B more parameters than Llama 3.1 8B Instruct, making it 34650.0% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Llama 3.1 8B Instruct was released on 2024-07-23.
Ember-1 is 26 months newer than Llama 3.1 8B Instruct.
Sep 23, 2026
2 weeks ago
2.2yr newerJul 23, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Ember-1's cutoff date is not specified.
We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Ember-1's cutoff date.
—
Dec 2023
Provider Availability
Ember-1 is available from Fireworks. Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.
Ember-1
Llama 3.1 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Llama 3.1 8B Instruct.